Update app.py

app.py

@@ -43,29 +43,31 @@ st.write("Column Data Types:", df.dtypes)
 # for col in df.select_dtypes(include='object').columns:
 #     df[col] = df[col].astype('category')
 
-# Visualization 1: Bar chart of licenses by type
-st.subheader("Licenses by Type")
+# Visualization 1: Licenses by Type with License Status breakdown
+st.subheader("Licenses by Type and Status")
 
-category_counts = df['License Type'].value_counts().reset_index()
-category_counts.columns = ['License Type', 'Count']
+# Group data by License Type and License Status
+category_status_counts = df.groupby(['License Type', 'License Status']).size().reset_index(name='Count')
 
-chart1 = alt.Chart(category_counts).mark_bar().encode(
+# Create a bar chart with color representing License Status
+chart1 = alt.Chart(category_status_counts).mark_bar().encode(
     x=alt.X('License Type', sort='-y', title='License Type'),
     y=alt.Y('Count', title='Number of Licenses'),
-    color=alt.Color('License Type', legend=None)
+    color=alt.Color('License Status', legend=alt.Legend(title="License Status")),
+    tooltip=['License Type', 'License Status', 'Count']
 ).properties(
-    width=600,
+    width=700,
     height=400,
-    title="Number of Licenses by Type"
-)
+    title="Number of Licenses by Type and Status"
+).interactive()
+
 st.altair_chart(chart1)
 
 # Write-up for Visualization 1
 st.write("""
-**Licenses by Type**: This visualization highlights the distribution of licenses across different types.
-The bar chart was chosen for its simplicity in comparing counts across license types. I chose to sort types in descending order for clarity.
-Colors were selected to make each bar distinct, and axis labels were added for easy interpretation.
-If I had more time, I might add interactivity to allow users to filter by other variables.
+**Licenses by Type and Status**: This visualization shows the distribution of licenses across different types with further breakdown by license status.
+The interactive chart allows users to view counts for each license status (e.g., active, inactive) within each license type.
+This breakdown can help identify how license types vary not only in volume but also in the proportion of active versus inactive licenses.If I had more time, I might add interactivity to allow users to filter by other variables.
 """)
 
 # Visualization 2: Line chart showing licenses issued over time