Update app.py

app.py

@@ -239,21 +239,26 @@ if fetch_data:
             completeness_df = pd.DataFrame({"Field": completeness.index, "Completeness (%)": completeness.values})
             completeness_table = completeness_df.set_index("Field")
         
-            #Sidebar Quick Stats 
+            # Sidebar Quick Stats (index hidden, orange theme)
             quick_stats = pd.DataFrame({
                 "Metric": ["Total Records", "Incomplete Records", "Overall Completeness (%)"],
                 "Value": [len(metadata_df), incomplete_count, round(overall_percent, 1)]
             })
             
-            # Styled Quick Stats Chart
-            with st.sidebar.expander("📊 Quick Stats", expanded=True):
-                st.dataframe(
-                    .hide(axis="index") 
-                    quick_stats.style.background_gradient(cmap="Oranges")
-                    .format({"Value": "{:.1f}"}),
-                    use_container_width=True,
-                    height=240
-                )
+            # Style it without index
+            styled_quick_stats = (
+                quick_stats.style
+                .hide(axis="index")  # Hides the row numbers
+                .background_gradient(cmap="Oranges", subset=["Value"])
+                .format({"Value": "{:.1f}"})
+            )
+            
+            # Use dataframe (NOT table)
+            st.sidebar.dataframe(
+                styled_quick_stats,
+                use_container_width=True,
+                height=240
+            )
 
             # Calculate Top 10 Subjects
             if 'subject' in metadata_df.columns: