Update app.py

app.py

@@ -97,24 +97,24 @@ col1_full, col2_full = st.columns(2)
 
 with col1_full:
     fig_gender_full = px.histogram(df_full, x="Gender", title="Overall Gender Distribution")
-    fig_gender_full.update_layout(height=400, width=500)
+    fig_gender_full.update_layout(height=200, width=300)
     st.plotly_chart(fig_gender_full)
 
     fig_youth_full = px.histogram(df_full, x="Youth", title="Overall Youth Participation")
-    fig_youth_full.update_layout(height=400, width=500)
+    fig_youth_full.update_layout(height=200, width=300)
     st.plotly_chart(fig_youth_full)
 
     fig_company_full = px.histogram(df_full, x="Company Name", title="Overall Company Distribution")
-    fig_company_full.update_layout(height=400, width=500)
+    fig_company_full.update_layout(height=200, width=300)
     st.plotly_chart(fig_company_full)
 
 with col2_full:
     fig_category_full = px.histogram(df_full, y="Intervention_Category", title="Overall Intervention Category Distribution")
-    fig_category_full.update_layout(height=400, width=500)
+    fig_category_full.update_layout(height=200, width=300)
     st.plotly_chart(fig_category_full)
 
     fig_intervention_full = px.histogram(df_full, y="Intervention", title="Overall Intervention Type Distribution")
-    fig_intervention_full.update_layout(height=400, width=500)
+    fig_intervention_full.update_layout(height=200, width=300)
     st.plotly_chart(fig_intervention_full)
 
     fig_pie_category = px.pie(df_full, names='Intervention_Category', title='Overall Intervention Category Pie Chart')