Update player exposure naming in app.py for improved clarity

- Changed exposure percentage labels from specific thresholds to more descriptive terms, enhancing user understanding of player data.
- Ensured consistent naming conventions across the application for better clarity in data representation.

app.py

@@ -194,7 +194,7 @@ with tab2:
         player_5per_counts = pd.Series(list(players_5per[player_columns].values.flatten())).value_counts()
         player_10per_counts = pd.Series(list(players_10per[player_columns].values.flatten())).value_counts()
         player20_per_counts = pd.Series(list(players_20per[player_columns].values.flatten())).value_counts()
-        each_set_name = ['1%', '5%', '10%', '20%']
+        each_set_name = ['Overall', ' Top 1%', ' Top 5%', 'Top 10%', 'Top 20%']
         with st.container():
             tab1, tab2 = st.tabs(['Player Used Info', 'Stack Used Info'])
             with tab1:
@@ -203,7 +203,7 @@ with tab2:
                     set_frame = each_set.to_frame().reset_index().rename(columns={'index': 'Player', 'count': 'Count'})
                     set_frame['Percent'] = set_frame['Count'] / len(working_df)
                     set_frame = set_frame[['Player', 'Percent']]
-                    set_frame = set_frame.rename(columns={'Percent': f'Exposure Top {each_set_name[count_var]}'})
+                    set_frame = set_frame.rename(columns={'Percent': f'Exposure {each_set_name[count_var]}'})
                     if 'player_frame' not in st.session_state:
                         st.session_state['player_frame'] = set_frame
                     else: