diff --git "a/matplotlib_data_analysis_questions.csv" "b/matplotlib_data_analysis_questions.csv"
new file mode 100644--- /dev/null
+++ "b/matplotlib_data_analysis_questions.csv"
@@ -0,0 +1,91237 @@
+formatted_text
+"<|user|>
+Exercise 1:Read Total profit of all months and show it using a line plot<|end|>
+<|assistant|>
+```python 
+import pandas as pd                                                                                                                                                                                                                                                                     
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+profitList = df ['total_profit'].tolist()
+monthList  = df ['month_number'].tolist()
+plt.plot(monthList, profitList, label = 'Month-wise Profit data of last year')
+plt.xlabel('Month number')
+plt.ylabel('Profit in dollar')
+plt.xticks(monthList)
+plt.title('Company profit per month')
+plt.yticks([100000, 200000, 300000, 400000, 500000])
+plt.show()                                                                                                                                                                                                                                                                                                           
+ ```<|end|>
+"
+"<|user|>
+Exercise 2: Get total profit of all months and show line plot with the following Style properties<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                   
+ import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+profitList = df ['total_profit'].tolist()
+monthList  = df ['month_number'].tolist()
+
+plt.plot(monthList, profitList, label = 'Profit data of last year', 
+      color='r', marker='o', markerfacecolor='k', 
+      linestyle='--', linewidth=3)
+      
+plt.xlabel('Month Number')
+plt.ylabel('Profit in dollar')
+plt.legend(loc='lower right')
+plt.title('Company Sales data of last year')
+plt.xticks(monthList)
+plt.yticks([100000, 200000, 300000, 400000, 500000])
+plt.show()               
+```<|end|>
+"
+"<|user|>
+Exercise 3: Read all product sales data and show it  using a multiline plot<|end|>
+<|assistant|>
+```python 
+import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+monthList  = df ['month_number'].tolist()
+faceCremSalesData   = df ['facecream'].tolist()
+faceWashSalesData   = df ['facewash'].tolist()
+toothPasteSalesData = df ['toothpaste'].tolist()
+bathingsoapSalesData   = df ['bathingsoap'].tolist()
+shampooSalesData   = df ['shampoo'].tolist()
+moisturizerSalesData = df ['moisturizer'].tolist()
+
+plt.plot(monthList, faceCremSalesData,   label = 'Face cream Sales Data', marker='o', linewidth=3)
+plt.plot(monthList, faceWashSalesData,   label = 'Face Wash Sales Data',  marker='o', linewidth=3)
+plt.plot(monthList, toothPasteSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
+plt.plot(monthList, bathingsoapSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
+plt.plot(monthList, shampooSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
+plt.plot(monthList, moisturizerSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
+
+plt.xlabel('Month Number')
+plt.ylabel('Sales units in number')
+plt.legend(loc='upper left')
+plt.xticks(monthList)
+plt.yticks([1000, 2000, 4000, 6000, 8000, 10000, 12000, 15000, 18000])
+plt.title('Sales data')
+plt.show()                                                                                                                                                                                                                                                                                                       
+ ```<|end|>
+"
+"<|user|>
+Exercise 4: Read toothpaste sales data of each month and show it using a scatter plot<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                                                                                                                      
+import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+monthList  = df ['month_number'].tolist()
+toothPasteSalesData = df ['toothpaste'].tolist()
+plt.scatter(monthList, toothPasteSalesData, label = 'Tooth paste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title(' Tooth paste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth= 1, linestyle=""--"")
+plt.show()                                                                                                                                                                                                                                                                                                             
+```<|end|>
+"
+"<|user|>
+Exercise 5: Read face cream and facewash product sales data and show it using the bar chart<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                                                                              
+import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+monthList  = df ['month_number'].tolist()
+faceCremSalesData   = df ['facecream'].tolist()
+faceWashSalesData   = df ['facewash'].tolist()
+
+plt.bar([a-0.25 for a in monthList], faceCremSalesData, width= 0.25, label = 'Face Cream sales data', align='edge')
+plt.bar([a+0.25 for a in monthList], faceWashSalesData, width= -0.25, label = 'Face Wash sales data', align='edge')
+plt.xlabel('Month Number')
+plt.ylabel('Sales units in number')
+plt.legend(loc='upper left')
+plt.title(' Sales data')
+
+plt.xticks(monthList)
+plt.grid(True, linewidth= 1, linestyle=""--"")
+plt.title('Facewash and facecream sales data')
+plt.show()                                                                                                                                                                                                                                                                      
+ ```<|end|>
+"
+"<|user|>
+Exercise 6: Read sales data of bathing soap of all months and show it using a bar chart. Save this plot to your hard disk<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                                                                              
+import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+monthList  = df ['month_number'].tolist()
+bathingsoapSalesData   = df ['bathingsoap'].tolist()
+plt.bar(monthList, bathingsoapSalesData)
+plt.xlabel('Month Number')
+plt.ylabel('Sales units in number')
+plt.title(' Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth= 1, linestyle=""--"")
+plt.title('bathingsoap sales data')
+plt.savefig('D:\Python\Articles\matplotlib\sales_data_of_bathingsoap.png', dpi=150)
+plt.show()                                                                                                                                                                                                                                                               
+```<|end|>
+"
+"<|user|>
+Exercise 7: Read the total profit of each month and show it using the histogram to see the most common profit ranges<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                                                                               
+import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+profitList = df ['total_profit'].tolist()
+labels = ['low', 'average', 'Good', 'Best']
+profit_range = [150000, 175000, 200000, 225000, 250000, 300000, 350000]
+plt.hist(profitList, profit_range, label = 'Profit data')
+plt.xlabel('profit range in dollar')
+plt.ylabel('Actual Profit in dollar')
+plt.legend(loc='upper left')
+plt.xticks(profit_range)
+plt.title('Profit data')
+plt.show()                                                                                                                                                                                                                                                                                        
+ ```<|end|>
+"
+"<|user|>
+Exercise 8: Calculate total sale data for last year for each product and show it using a Pie chart<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                                                                       
+import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+monthList  = df ['month_number'].tolist()
+
+labels = ['FaceCream', 'FaseWash', 'ToothPaste', 'Bathing soap', 'Shampoo', 'Moisturizer']
+salesData   = [df ['facecream'].sum(), df ['facewash'].sum(), df ['toothpaste'].sum(), 
+         df ['bathingsoap'].sum(), df ['shampoo'].sum(), df ['moisturizer'].sum()]
+plt.axis(""equal"")
+plt.pie(salesData, labels=labels, autopct='%1.1f%%')
+plt.legend(loc='lower right')
+plt.title('Sales data')
+plt.show()                                                                                                                                                                                                                                                                  
+```<|end|>
+"
+"<|user|>
+Exercise 9: Read Bathing soap facewash of all months and display it using the Subplot<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                                                                         
+ import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+monthList  = df ['month_number'].tolist()
+bathingsoap   = df ['bathingsoap'].tolist()
+faceWashSalesData   = df ['facewash'].tolist()
+
+f, axarr = plt.subplots(2, sharex=True)
+axarr[0].plot(monthList, bathingsoap, label = 'Bathingsoap Sales Data', color='k', marker='o', linewidth=3)
+axarr[0].set_title('Sales data of  a Bathingsoap')
+axarr[1].plot(monthList, faceWashSalesData, label = 'Face Wash Sales Data', color='r', marker='o', linewidth=3)
+axarr[1].set_title('Sales data of  a facewash')
+
+plt.xticks(monthList)
+plt.xlabel('Month Number')
+plt.ylabel('Sales units in number')
+plt.show()                                                                                                                                                                                                                                                                       
+```<|end|>
+"
+"<|user|>
+Exercise Question 10: Read all product sales data and show it using the stack plot<|end|>
+<|assistant|>
+```python                                                                                                                                                                                                                                                               
+import pandas as pd
+import matplotlib.pyplot as plt  
+
+df = pd.read_csv(""D:\\Python\\Articles\\matplotlib\\sales_data.csv"")
+monthList  = df ['month_number'].tolist()
+
+faceCremSalesData   = df ['facecream'].tolist()
+faceWashSalesData   = df ['facewash'].tolist()
+toothPasteSalesData = df ['toothpaste'].tolist()
+bathingsoapSalesData   = df ['bathingsoap'].tolist()
+shampooSalesData   = df ['shampoo'].tolist()
+moisturizerSalesData = df ['moisturizer'].tolist()
+
+plt.plot([],[],color='m', label='face Cream', linewidth=5)
+plt.plot([],[],color='c', label='Face wash', linewidth=5)
+plt.plot([],[],color='r', label='Tooth paste', linewidth=5)
+plt.plot([],[],color='k', label='Bathing soap', linewidth=5)
+plt.plot([],[],color='g', label='Shampoo', linewidth=5)
+plt.plot([],[],color='y', label='Moisturizer', linewidth=5)
+
+plt.stackplot(monthList, faceCremSalesData, faceWashSalesData, toothPasteSalesData, 
+              bathingsoapSalesData, shampooSalesData, moisturizerSalesData, 
+              colors=['m','c','r','k','g','y'])
+
+plt.xlabel('Month Number')
+plt.ylabel('Sales unints in Number')
+plt.title('Alll product sales data using stack plot')
+plt.legend(loc='upper left')
+plt.show()                                                                                                                                                                                                                                                                        
+ ```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.bar(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.scatter(monthList, salesData, label='shampoo Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.bar(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize soap sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize toothpaste sales data of each month with a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show shampoo sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for toothpaste sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['toothpaste'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('toothpaste Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a line chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize shampoo sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a histogram chart for facewash sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.scatter(monthList, salesData, label='facewash Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize facewash sales data of each month with a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a pie chart chart for shampoo sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['soap'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('soap Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Visualize moisturizer sales data of each month with a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.bar(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show toothpaste sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show soap sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.plot(monthList, salesData, label='soap Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a bar chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.bar(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show facewash sales data of each month using a pie chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a bar chart chart for soap sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['facewash'].tolist()
+plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('facewash Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a histogram chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['shampoo'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('shampoo Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a bar chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.bar(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Create a scatter plot chart for moisturizer sales data of each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.scatter(monthList, salesData, label='moisturizer Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read facewash sales data of each month and show it using a histogram.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['facewash'].tolist()
+plt.hist(salesData, bins=5, edgecolor='black')
+plt.xlabel('Sales Data')
+plt.ylabel('Frequency')
+plt.title('facewash Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read soap sales data and plot a scatter plot chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['soap'].tolist()
+plt.scatter(monthList, salesData, label='soap Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('soap Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read toothpaste sales data of each month and show it using a scatter plot.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['toothpaste'].tolist()
+plt.scatter(monthList, salesData, label='toothpaste Sales data')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('toothpaste Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Show moisturizer sales data of each month using a line chart.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['moisturizer'].tolist()
+plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('moisturizer Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read moisturizer sales data and plot a pie chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+salesData = df['moisturizer'].tolist()
+monthList = df['month_number'].tolist()
+plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
+plt.title('moisturizer Sales data')
+plt.show()
+```<|end|>
+"
+"<|user|>
+Read shampoo sales data and plot a line chart chart for each month.<|end|>
+<|assistant|>
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv(""D:\Python\Articles\matplotlib\sales_data.csv"")
+monthList = df['month_number'].tolist()
+salesData = df['shampoo'].tolist()
+plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
+plt.xlabel('Month Number')
+plt.ylabel('Number of units Sold')
+plt.legend(loc='upper left')
+plt.title('shampoo Sales data')
+plt.xticks(monthList)
+plt.grid(True, linewidth=1, linestyle=""--"")
+plt.show()
+```<|end|>
+"