Update lineup splitting to include 'Remove' column in load_contest_file function

- Modified the lineup splitting logic to add a 'Remove' column, enhancing the organization of player data in the cleaned dataframe.
- This change continues the effort to refine data handling and improve user experience within the application.

global_func/load_contest_file.py

@@ -42,7 +42,7 @@ def load_contest_file(upload, sport):
             # Create the cleaned dataframe with just the essential columns
             cleaned_df = df[['BaseName', 'EntryCount', 'Lineup']]
             cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
-            cleaned_df[['1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = cleaned_df['Lineup'].str.split(',', expand=True)
+            cleaned_df[['Remove', '1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = cleaned_df['Lineup'].str.split(',', expand=True)
             
             # Get unique entry names
             entry_list = list(set(df['BaseName']))