Refine column selection in load_contest_file function for improved data structure

- Updated the cleaned dataframe to explicitly select and reorder essential columns after processing, enhancing data organization and accessibility.
- This change continues the effort to streamline data handling and improve user experience within the application.

global_func/load_contest_file.py

@@ -44,6 +44,7 @@ def load_contest_file(upload, sport):
             cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
             cleaned_df[['Remove', '1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = cleaned_df['Lineup'].str.split(',', expand=True)
             cleaned_df = cleaned_df.drop(columns=['Lineup', 'Remove'])
+            cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'P1', 'P2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
             
             # Get unique entry names
             entry_list = list(set(df['BaseName']))