feat: generated files

app.py

@@ -125,11 +125,20 @@ elif page == "Customer Analysis":
             # Ensure all values are numeric
             sales_data_filtered = sales_data_filtered.apply(pd.to_numeric, errors='coerce')
 
-            # Combine manufacturers data
+            # Sort manufacturers by percentage of units and get top 10
+            top_units = all_manufacturers.sort_values(by=all_manufacturers.columns[0], ascending=False).head(10)
+
+            # Sort manufacturers by total sales and get top 10
+            top_sales = sales_data_filtered.sort_values(by=sales_data_filtered.columns[0], ascending=False).head(10)
+
+            # Combine top manufacturers from both lists and get up to 20 unique manufacturers
+            combined_top = pd.concat([top_units, top_sales]).index.unique()[:20]
+
+            # Create a DataFrame with combined data for these top manufacturers
             combined_data = pd.DataFrame({
-                'units': all_manufacturers[all_manufacturers.columns[0]],
-                'sales': sales_data_filtered[sales_data_filtered.columns[0]]
-            })
+                'units': all_manufacturers.loc[combined_top, all_manufacturers.columns[0]],
+                'sales': sales_data_filtered.loc[combined_top, sales_data_filtered.columns[0]]
+            }).fillna(0)
 
             # Sort by units, then by sales
             combined_data_sorted = combined_data.sort_values(by=['units', 'sales'], ascending=False)