Update src/streamlit_app.py

src/streamlit_app.py

@@ -12,6 +12,7 @@ from streamlit_folium import st_folium
 import json
 import os
 from pathlib import Path
+import circlify
 
 # point Streamlit at a writable folder
 os.environ["STREAMLIT_CONFIG_DIR"] = "/tmp/.streamlit"
@@ -303,6 +304,48 @@ fig.update_layout(
 
 # 4. Render in Streamlit
 st.plotly_chart(fig, use_container_width=True)
+##########################################################
+# Aggregate total incidents by region and take top 15
+region_counts = (
+    df.groupby("RegionName")
+      .size()
+      .reset_index(name="Count")
+      .nlargest(15, "Count")
+)
+
+# 2. Compute circle‐packing layout
+circles = circlify.circlify(
+    region_counts["Count"].tolist(),
+    show_enclosure=False,
+    target_enclosure=circlify.Circle(x=0, y=0, r=1)
+)
+
+# 3. Plot packed bubbles
+fig, ax = plt.subplots(figsize=(6, 6))
+ax.axis("off")
+
+# Determine plot limits so everything fits
+lim = max(
+    abs(circle.x) + circle.r
+    for circle in circles
+)
+ax.set_xlim(-lim, lim)
+ax.set_ylim(-lim, lim)
+
+# Draw each circle
+for circle, (_, row) in zip(circles, region_counts.iterrows()):
+    x, y, r = circle.x, circle.y, circle.r
+    ax.add_patch(plt.Circle((x, y), r, alpha=0.6, linewidth=2, ec="white"))
+    ax.text(
+        x, y,
+        f"{row['RegionName']}\n{row['Count']:,}",
+        ha="center", va="center", fontsize=8
+    )
+
+ax.set_title("Packed Bubble: Top 15 Regions by Incident Count", fontsize=14)
+
+# 4. Render in Streamlit
+st.pyplot(fig)
 
 # -------------------------------- Plot 2: Heat Map --------------------------------
 st.markdown("<div class='sectionheader'> HeatMap </div>", unsafe_allow_html=True)