Update app.py

app.py

@@ -239,13 +239,12 @@ if fetch_data:
             completeness_df = pd.DataFrame({"Field": completeness.index, "Completeness (%)": completeness.values})
             completeness_table = completeness_df.set_index("Field")
         
-            # Sidebar Quick Stats (fancy card version)
+            # Sidebar Quick Stats 
             quick_stats_df = pd.DataFrame({
                 "Metric": ["Total Records", "Incomplete Records", "Overall Completeness (%)"],
                 "Value": [len(metadata_df), incomplete_count, round(overall_percent, 1)]
             })
             
-            # Card-like background container
             st.sidebar.markdown("""
                 <div style='
                     background-color: #2b2b2b;
@@ -254,19 +253,13 @@ if fetch_data:
                     margin-bottom: 1.5rem;
                     box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3);
                 '>
-                    <h4 style='color: #FFA500; margin-bottom: 1rem;'>Quick Stats</h4>
+                    <h4 style='color: #FFA500; margin-bottom: 1rem;'>📊 Quick Stats</h4>
                 </div>
             """, unsafe_allow_html=True)
             
-            # Now display the styled dataframe
-            st.sidebar.dataframe(
-                quick_stats_df.style
-                    .background_gradient(cmap="Oranges", subset=["Value"])
-                    .format({"Value": "{:.1f}"}),
-                use_container_width=True,
-                height=240,
-                hide_index=True  #<<--- add THIS here to hide 0,1,2
-            )
+            styled_stats = quick_stats_df.style.background_gradient(cmap="Oranges", subset=["Value"]).format({"Value": "{:.1f}"})
+            st.sidebar.table(styled_stats)
+
 
             # Calculate Top 10 Subjects
             if 'subject' in metadata_df.columns: