Update app.py

app.py

@@ -174,6 +174,7 @@ def load_leaderboard_data(csv_file_path):
         # Higher is better -> fill with a very small number so they sort last when descending
         df['Show Rec Score'].fillna(-99999, inplace=True)
         df['Show Rec Correlation'].fillna(-99999, inplace=True)
+        df['Political Lean 📋'].fillna(-99999, inplace=True)
         # Lower is better -> fill with a very large number so they sort last when ascending
         df['Show Rec MAE'].fillna(99999, inplace=True)
         df['Show Rec Std Dev Error'].fillna(99999, inplace=True)
@@ -843,7 +844,7 @@ ALL_COLUMN_DEFS = {
     "W/10 👍": create_numeric_column("W/10 👍", headerName="W/10 👍", width=116, filterParams={"defaultOption": "greaterThanOrEqual"}),
     "NatInt 💡": create_numeric_column("NatInt 💡", headerName="NatInt 💡", width=140, filterParams={"defaultOption": "greaterThanOrEqual"}),
     "Writing ✍️": create_numeric_column("Writing ✍️", headerName="Writing ✍️", width=135, filterParams={"defaultOption": "greaterThanOrEqual"}),
-    "Political Lean 📋": create_numeric_column("Political Lean 📋", headerName="Political Lean 📋", width=135, valueFormatter={"function": "params.value == null ? '' : params.value.toFixed(1) + '%'"}, filterParams={"defaultOption": "inRange"}),
+    "Political Lean 📋": create_numeric_column("Political Lean 📋", headerName="Political Lean 📋", width=135, valueFormatter={"function": "params.value === -99999 ? '' : params.value.toFixed(1) + '%'"}, filterParams={"defaultOption": "inRange"}),
 
     # --- UGI Categories ---
     "Hazardous": create_numeric_column("Hazardous", width=120, filterParams={"defaultOption": "greaterThanOrEqual"}),
@@ -1505,8 +1506,6 @@ def update_grid_rows(*args):
     if not show_na_filter:
         if active_preset == 'Writing':
             filtered_df.dropna(subset=['Writing ✍️'], inplace=True)
-        if active_preset == 'Overview':
-            filtered_df.dropna(subset=['Political Lean 📋'], inplace=True)
 
     # 6. Apply context-aware "NA Models" filter
     if show_na_filter: