Update app.py

app.py

@@ -24,20 +24,39 @@ df.dropna(subset=['License Type', 'License Status', 'Original Issue Date'], inpl
 # Add Year columns for visualizations
 df['Original Issue Year'] = df['Original Issue Date'].dt.year
 
-# Visualization 1: Bar chart of licenses by Status
+# # Visualization 1: Bar chart of licenses by Status
+# 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_bar().encode(
+#         x=alt.X('License Status', sort='-y', title='License Type'),
+#         y=alt.Y('Count', title='Number of Licenses',scale=alt.Scale(domain=(0, 600), nice=False)),
+#         color=alt.Color('License Status', legend=None)
+#     ).properties(
+#         width=600,
+#         height=400,
+#         title="Number of Licenses by Status"
+#     )
+#     st.altair_chart(chart1)
+# else:
+#     st.write("No data available for the 'License Status' plot.")
+
+# Visualization 1: Pie chart of licenses by Status
 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_bar().encode(
-        x=alt.X('License Status', sort='-y', title='License Type'),
-        y=alt.Y('Count', title='Number of Licenses',scale=alt.Scale(domain=(0, 600), nice=False)),
-        color=alt.Color('License Status', legend=None)
+    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=None),
+        tooltip=['License Status', 'Count']
     ).properties(
-        width=600,
+        width=400,
         height=400,
-        title="Number of Licenses by Status"
+        title="Licenses by Status"
     )
     st.altair_chart(chart1)
 else: