Update app.py

app.py

@@ -62,13 +62,35 @@ df['Original Issue Year'] = df['Original Issue Date'].dt.year
 # else:
 #     st.write("No data available for the 'License Status' plot.")
 
-# Visualization 1: Pie chart of licenses by Status with distinct colors and legend
+# # Visualization 1: Pie chart of licenses by Status with distinct colors and legend
+# st.subheader("Licenses by Status")
+# category_counts = df['License Status'].value_counts().reset_index()
+# category_counts.columns = ['License Status', 'Count']
+
+# if not category_counts.empty:
+#     chart1 = alt.Chart(category_counts).mark_arc().encode(
+#         theta=alt.Theta(field="Count", type="quantitative", title="Number of Licenses"),
+#         color=alt.Color(field="License Status", type="nominal", legend=alt.Legend(title="License Status"), 
+#                         scale=alt.Scale(scheme='pastel1')),  # Distinct color scheme
+#         tooltip=['License Status', 'Count']
+#     ).properties(
+#         width=400,
+#         height=400,
+#         title="Licenses by Status"
+#     )
+#     st.altair_chart(chart1)
+# else:
+#     st.write("No data available for the 'License Status' plot.")
+
 st.subheader("Licenses by Status")
 category_counts = df['License Status'].value_counts().reset_index()
 category_counts.columns = ['License Status', 'Count']
 
-if not category_counts.empty:
-    chart1 = alt.Chart(category_counts).mark_arc().encode(
+# Select top 5 categories
+category_counts_top5 = category_counts.head(5)
+
+if not category_counts_top5.empty:
+    chart1 = alt.Chart(category_counts_top5).mark_arc().encode(
         theta=alt.Theta(field="Count", type="quantitative", title="Number of Licenses"),
         color=alt.Color(field="License Status", type="nominal", legend=alt.Legend(title="License Status"), 
                         scale=alt.Scale(scheme='pastel1')),  # Distinct color scheme
@@ -76,13 +98,14 @@ if not category_counts.empty:
     ).properties(
         width=400,
         height=400,
-        title="Licenses by Status"
+        title="Licenses by Status (Top 5)"
     )
     st.altair_chart(chart1)
 else:
     st.write("No data available for the 'License Status' plot.")
 
 
+
 # Write-up for Visualization 1
 st.write("""
 **Licenses by Status**: This visualization highlights the distribution of licenses across different statuses.