Update src/streamlit_app.py

src/streamlit_app.py

@@ -306,4 +306,36 @@ bar_chart = alt.Chart(stacked_year_df).mark_bar().encode(
     title='Stacked Crime Composition by Year (Top 10 Crime Types)'
 )
 
-st.altair_chart(bar_chart, use_container_width=True)
+st.altair_chart(bar_chart, use_container_width=True)
+
+
+
+
+top_crimes = df['crm_cd_desc'].value_counts().nlargest(10).index
+df_top = df[df['crm_cd_desc'].isin(top_crimes)]
+
+# Group by crime type and year.
+heatmap1_df = df_top.groupby(['crm_cd_desc', 'year']).size().reset_index(name='count')
+
+# Create the slider based on the previous heatmap.
+year_slider = alt.binding_range(min=heatmap1_df['year'].min(), max=heatmap1_df['year'].max(), step=1)
+year_select = alt.selection_point(fields=['year'], bind=year_slider, name="Select")
+
+# Convert the heatmap into bar chart.
+heatmap1 = alt.Chart(heatmap1_df).mark_bar().encode(
+    x=alt.X('crm_cd_desc:N', title='Crime Type', sort='-y'),
+    y=alt.Y('count:Q', title='Number of Incidents'),
+    color=alt.Color('crm_cd_desc:N', title='Crime Type'),
+    tooltip=['crm_cd_desc', 'count']
+).transform_filter(
+    year_select
+).add_params(
+    year_select
+).properties(
+    width=600,
+    height=400,
+    title='Top 10 Crime Types (Filtered by Year)'
+)
+
+# Display the plot.
+heatmap1