Update app.py

app.py

@@ -523,32 +523,7 @@ def main():
             # Create and display chart
             fig, violations = create_severity_violation_chart(df, selected_age)
 
-            # clicked_points = plotly_events(fig, click_event=True, override_height=600, override_width="100%")
-            # # clicked_points = plotly_events(fig, click_event=True, override_height=600)
-
-            # if clicked_points:
-            #     selected_violation = clicked_points[0]['x']
-            #     if selected_violation != st.session_state['selected_violation']:
-            #         st.session_state['selected_violation'] = selected_violation
-
-            # # If a violation is selected, display the pie chart --> added for part3 (interactive pie chart)
-            # if st.session_state['selected_violation']:
-            #     # pie_chart = create_interactive_pie_chart(violations, st.session_state['selected_violation'])
-            #     pie_chart = create_interactive_pie_chart(violations, st.session_state['selected_violation'], selected_age) # dynamically update pie chart's title
-            #     st.plotly_chart(pie_chart, use_container_width=True)
-            
-            # # Display statistics
-            # if selected_age == 'All Ages':
-            #     total_incidents = len(df)
-            # else:
-            #     total_incidents = len(df[
-            #         (df['Age_Group_Drv1'] == selected_age) | 
-            #         (df['Age_Group_Drv2'] == selected_age)
-            #     ])
-            
-
-        with desc_col:
-            clicked_points = plotly_events(fig, click_event=True, override_height=600, override_width="100%")
+            clicked_points = plotly_events(fig, click_event=True, override_height=600, override_width="50%")
             # clicked_points = plotly_events(fig, click_event=True, override_height=600)
 
             if clicked_points:
@@ -570,36 +545,37 @@ def main():
                     (df['Age_Group_Drv1'] == selected_age) | 
                     (df['Age_Group_Drv2'] == selected_age)
                 ])
-        
-        
-        st.markdown("""
-        # Severity of Violations Across Age Groups
-        This section provides an interactive visualization of **crash severities** linked to specific violation types, segmented by driver age groups. It enables a comprehensive analysis of how **age influences crash severity and violation trends**. The visualization is linked to an **interactive pie chart** that updates when a specific bar is selected, displaying the detailed distribution of the selected violation type based on the selected age group.
-        ---
-        ## **Key Features**
-        ### 1. **Age Group Analysis**
-        - Select specific age groups (e.g., "16-25", "65+") or analyze all ages to explore correlations between:
-        - Age
-        - Violation type
-        - Crash severity
-        - Understand how different age groups are involved in various types of violations.
-        ### 2. **Violation Breakdown**
-        - Examine the most frequent violations contributing to traffic accidents for each age group.
-        - View detailed statistics showing the distribution of violation types.
-        ### 3. **Understanding Severity Level**
-        - Identify the proportion of severity levels for a specific violation type based on different age groups.
-        - Investigate detailed severity patterns for each violation type across age groups.
-        ---
-        ## **Insights**
-        - **Identifies High-Risk Behaviors:** 
-        - Highlights risky behaviors such as reckless driving in younger drivers or impaired driving in older groups.
-        
-        - **Highlights Severity Associations:** 
-        - Shows which violations are associated with more severe outcomes, aiding targeted safety interventions and public awareness campaigns.
-        - **Supports Data-Driven Decision Making:** 
-        - Provides insights for designing **age-specific traffic safety programs**.
-        ---
-        """)
+            
+
+        with desc_col: 
+            st.markdown("""
+            # Severity of Violations Across Age Groups
+            This section provides an interactive visualization of **crash severities** linked to specific violation types, segmented by driver age groups. It enables a comprehensive analysis of how **age influences crash severity and violation trends**. The visualization is linked to an **interactive pie chart** that updates when a specific bar is selected, displaying the detailed distribution of the selected violation type based on the selected age group.
+            ---
+            ## **Key Features**
+            ### 1. **Age Group Analysis**
+            - Select specific age groups (e.g., "16-25", "65+") or analyze all ages to explore correlations between:
+            - Age
+            - Violation type
+            - Crash severity
+            - Understand how different age groups are involved in various types of violations.
+            ### 2. **Violation Breakdown**
+            - Examine the most frequent violations contributing to traffic accidents for each age group.
+            - View detailed statistics showing the distribution of violation types.
+            ### 3. **Understanding Severity Level**
+            - Identify the proportion of severity levels for a specific violation type based on different age groups.
+            - Investigate detailed severity patterns for each violation type across age groups.
+            ---
+            ## **Insights**
+            - **Identifies High-Risk Behaviors:** 
+            - Highlights risky behaviors such as reckless driving in younger drivers or impaired driving in older groups.
+            
+            - **Highlights Severity Associations:** 
+            - Shows which violations are associated with more severe outcomes, aiding targeted safety interventions and public awareness campaigns.
+            - **Supports Data-Driven Decision Making:** 
+            - Provides insights for designing **age-specific traffic safety programs**.
+            ---
+            """)
 
     with tab3:
         # Dropdown for category selection