Update app.py

app.py

@@ -90,7 +90,9 @@ def get_unique_values(df):
         'companies': df['company'].unique(),
         'locations': df['location'].unique(),
         'job_types': df['job_type'].unique(),
-        'Role_Name': df['title'].unique()
+        'Role_Name': df['title'].unique(),
+        'Date_posted': df['date_posted'].unique()
+        
     }
 
 def create_chart(data, _x, y, title, color_sequence):
@@ -154,7 +156,7 @@ def display_dashboard(df):
         fig = create_chart(top_job_titles, top_job_titles.index, top_job_titles.values, "Top 20 Job Titles", ['#59a14f'])
         st.plotly_chart(fig, use_container_width=True)
 @st.cache_data
-def filter_dataframe(df, companies, locations, job_types,Role_Name):
+def filter_dataframe(df, companies, locations, job_types,Role_Name,Date_posted):
     filtered_df = df
     if companies:
         filtered_df = filtered_df[filtered_df['company'].isin(companies)]
@@ -163,7 +165,9 @@ def filter_dataframe(df, companies, locations, job_types,Role_Name):
     if job_types:
         filtered_df = filtered_df[filtered_df['job_type'].isin(job_types)]
     if Role_Name:
-        filtered_df = filtered_df[filtered_df['title'].isin(job_types)]
+        filtered_df = filtered_df[filtered_df['title'].isin(Role_name)]
+     if Date_posted:
+        filtered_df = filtered_df[filtered_df['date_posted'].isin(Date_posted)]
     return filtered_df
 
 def display_data_explorer(df):
@@ -173,7 +177,7 @@ def display_data_explorer(df):
 
     if show_all == "Filtered Data":
         unique_values = get_unique_values(df)
-        col1, col2, col3, col4 = st.columns(4)
+        col1, col2, col3, col4,col5 = st.columns(5)
         with col1:
             companies = st.multiselect("Select Companies", options=unique_values['companies'])
         with col2:
@@ -182,8 +186,10 @@ def display_data_explorer(df):
             job_types = st.multiselect("Select Job Types", options=unique_values['job_types'])
         with col4:
             Role_type = st.multiselect("Select Role Types", options=unique_values['Role_Name'])
+        with col5:
+            Date_posted = st.multiselect("Select Role Types", options=unique_values['Date_posted'])
         
-        filtered_df = filter_dataframe(df, companies, locations, job_types, Role_type)
+        filtered_df = filter_dataframe(df, companies, locations, job_types, Role_type,Date_posted)
     else:
         filtered_df = df