Update src/streamlit_app.py

src/streamlit_app.py

@@ -305,23 +305,23 @@ fig.update_layout(
 # 4. Render in Streamlit
 st.plotly_chart(fig, use_container_width=True)
 ##########################################################
-# Aggregate total incidents by region and take top 15
+# Aggregate total incidents by region and take top 10
 region_counts = (
     df.groupby("RegionName")
       .size()
       .reset_index(name="Count")
-      .nlargest(15, "Count")
+      .nlargest(10, "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)
+    target_enclosure=circlify.Circle(x=0, y=0, r=0.5)
 )
 
 # 3. Plot packed bubbles
-fig, ax = plt.subplots(figsize=(6, 6))
+fig, ax = plt.subplots(figsize=(3, 3))
 ax.axis("off")
 
 # Determine plot limits so everything fits
@@ -339,10 +339,10 @@ for circle, (_, row) in zip(circles, region_counts.iterrows()):
     ax.text(
         x, y,
         f"{row['RegionName']}\n{row['Count']:,}",
-        ha="center", va="center", fontsize=8
+        ha="center", va="center", fontsize=8, color="#222"
     )
 
-ax.set_title("Packed Bubble: Top 15 Regions by Incident Count", fontsize=14)
+ax.set_title("Packed Bubble: Top 15 Regions by Incident Count", fontsize=12, pad=10)
 
 # 4. Render in Streamlit
 st.pyplot(fig)