Move 'Show incomplete entries' checkbox above plot and apply filter to both

- Moved the checkbox above the scatter plot for better UX
- The checkbox now filters both the scatter plot AND the table
- Pre-computed both complete and all entries scatter plots for fast toggling
- When checkbox is toggled, both plot and table update simultaneously

ui_components.py

@@ -551,7 +551,27 @@ def create_leaderboard_display(
     # If no complete entries exist, show all entries by default
     has_complete_entries = len(df_display_complete) > 0
     
-    scatter_plot = plots_dict.get('scatter_plot', go.Figure())
+    # Determine primary score/cost columns for scatter plot
+    if category_name == "Overall":
+        primary_score_col = "Average Score"
+        primary_cost_col = "Average Cost"
+    else:
+        primary_score_col = f"{category_name} Score"
+        primary_cost_col = f"{category_name} Cost"
+    
+    # Function to create scatter plot from data
+    def create_scatter_plot(df_data):
+        return _plot_scatter_plotly(
+            data=df_data,
+            x=primary_cost_col if primary_cost_col in df_data.columns else None,
+            y=primary_score_col if primary_score_col in df_data.columns else "Average Score",
+            agent_col="SDK Version",
+            name=category_name
+        )
+    
+    # Create initial scatter plots for both complete and all data
+    scatter_plot_complete = create_scatter_plot(df_view_complete) if has_complete_entries else go.Figure()
+    scatter_plot_all = create_scatter_plot(df_view_full)
     
     # Now get headers from the renamed dataframe (use all entries to ensure headers are present)
     df_headers = df_display_all.columns.tolist()
@@ -576,27 +596,34 @@ def create_leaderboard_display(
     # 5. Combine all the lists to create the final, fully dynamic list.
     final_column_widths = fixed_start_widths + dynamic_widths + fixed_end_widths
 
+    # Calculate counts for the checkbox label
+    num_complete = len(df_display_complete)
+    num_total = len(df_display_all)
+    num_incomplete = num_total - num_complete
+    
+    # Add toggle for showing incomplete entries ABOVE the plot
+    if has_complete_entries:
+        show_incomplete_checkbox = gr.Checkbox(
+            label=f"Show incomplete entries ({num_incomplete} entries with fewer than 5 categories)",
+            value=False,
+            elem_id="show-incomplete-toggle"
+        )
+    else:
+        show_incomplete_checkbox = None
+        gr.Markdown(f"*No entries with all 5 categories completed yet. Showing all {num_total} entries.*")
+
+    # Plot component - show complete entries by default if available
+    initial_plot = scatter_plot_complete if has_complete_entries else scatter_plot_all
     plot_component = gr.Plot(
-        value=scatter_plot,
+        value=initial_plot,
         show_label=False,
     )
     gr.Markdown(value=SCATTER_DISCLAIMER, elem_id="scatter-disclaimer")
 
     # Put table and key into an accordion
     with gr.Accordion("Show / Hide Table View", open=True, elem_id="leaderboard-accordion"):
-        # Add toggle for showing incomplete entries
-        num_complete = len(df_display_complete)
-        num_total = len(df_display_all)
-        num_incomplete = num_total - num_complete
-        
         # If there are complete entries, show toggle. If not, show all entries.
         if has_complete_entries:
-            show_incomplete_checkbox = gr.Checkbox(
-                label=f"Show incomplete entries ({num_incomplete} entries with fewer than 5 categories)",
-                value=False,
-                elem_id="show-incomplete-toggle"
-            )
-            
             # Start with complete entries only (default)
             dataframe_component = gr.DataFrame(
                 headers=df_headers,
@@ -610,22 +637,19 @@ def create_leaderboard_display(
                 elem_id="main-leaderboard"
             )
             
-            # Update function for the toggle
-            def update_table(show_incomplete):
+            # Update function for the toggle - updates both table and plot
+            def update_display(show_incomplete):
                 if show_incomplete:
-                    return df_display_all
+                    return df_display_all, scatter_plot_all
                 else:
-                    return df_display_complete
+                    return df_display_complete, scatter_plot_complete
             
             show_incomplete_checkbox.change(
-                fn=update_table,
+                fn=update_display,
                 inputs=[show_incomplete_checkbox],
-                outputs=[dataframe_component]
+                outputs=[dataframe_component, plot_component]
             )
         else:
-            # No complete entries - show all entries and a note
-            gr.Markdown(f"*No entries with all 5 categories completed yet. Showing all {num_total} entries.*")
-            
             dataframe_component = gr.DataFrame(
                 headers=df_headers,
                 value=df_display_all,