Update app.py

app.py

@@ -86,26 +86,30 @@ st.subheader("Licenses by Status")
 category_counts = df['License Status'].value_counts().reset_index()
 category_counts.columns = ['License Status', 'Count']
 
-# Select top 5 categories
-category_counts_top5 = category_counts.head(5)
+# Select top 5 categories and sort in descending order
+category_counts_top5 = category_counts.head(5).sort_values(by='Count', ascending=False)
 
 if not category_counts_top5.empty:
     chart1 = alt.Chart(category_counts_top5).mark_bar().encode(
-        x=alt.X(field="License Status", type="nominal", title="License Status"),
+        x=alt.X(field="License Status", type="nominal", title="License Status", 
+                sort='-y'),  # Sorting by count in descending order
         y=alt.Y(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')),  # Pastel color scheme
         tooltip=['License Status', 'Count']
     ).properties(
-        width=400,
+        width=500,
         height=400,
         title="Licenses by Status (Top 5)"
+    ).configure_axis(
+        labelAngle=0  # Ensure the full name is visible
     )
     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.