Update app.py

app.py

@@ -61,26 +61,43 @@ df['Original Issue Year'] = df['Original Issue Date'].dt.year
 #     st.altair_chart(chart1)
 # else:
 #     st.write("No data available for the 'License Status' plot.")
-# 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='category20')),  # 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.")
 
+# # 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='category20')),  # 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.")
+
+# Group data by License Status and State
+state_status_counts = df.groupby(['State', 'License Status']).size().reset_index(name='Count')
+
+# Visualization: Grouped Bar Chart
+st.subheader("License Status by State")
+chart_grouped = alt.Chart(state_status_counts).mark_bar().encode(
+    x=alt.X('State:N', title='State'),
+    y=alt.Y('Count:Q', title='Number of Licenses'),
+    color=alt.Color('License Status:N', title='License Status', scale=alt.Scale(scheme='category20')),
+    column=alt.Column('License Status:N', title='License Status')
+).properties(
+    width=100,
+    height=400,
+    title="License Status by State"
+)
+st.altair_chart(chart_grouped)
 
 # Write-up for Visualization 1
 st.write("""