Update src/streamlit_app.py

src/streamlit_app.py

@@ -304,6 +304,45 @@ for trace in fig.data:
     trace.update(mode="lines")  # remove markers
 
 st.plotly_chart(fig, use_container_width=True)
+# -------------------------------- Plot 8: Line Chart for Incident Counts by Region --------------------------------
+# 1. Compute counts per region and crime
+counts = (
+    df
+    .groupby(['RegionName', 'crm_cd_desc'])
+    .size()
+    .reset_index(name='Count')
+)
+
+# 2. For each region, keep only its top 5 crime types
+top5_per_region = (
+    counts
+    .groupby('RegionName', group_keys=False)
+    .apply(lambda grp: grp.nlargest(5, 'Count'))
+)
+
+# 3. Draw a stacked bar chart
+fig = px.bar(
+    top5_per_region,
+    x='RegionName',
+    y='Count',
+    color='crm_cd_desc',
+    title='Top 5 Crimes by Region',
+    labels={'crm_cd_desc': 'Crime Type'},
+    height=600
+)
+
+# 4. Tweak layout for readability
+fig.update_layout(
+    barmode='stack', 
+    xaxis_tickangle=-45,
+    xaxis_title='', 
+    yaxis_title='Incident Count',
+    legend_title_text='Crime Type',
+    margin=dict(t=50, b=150, l=50, r=50)
+)
+
+# 5. Render in Streamlit
+st.plotly_chart(fig, use_container_width=True)
 
 # -------------------------------- Plot 7: Bubble Map of Incident Counts by Region NO MAP --------------------------------
 # st.markdown("<div class='sectionheader'>Crime Hotspots by Region NO MAP</div>", unsafe_allow_html=True)