Update Streamlit app to filter out rows with '#N/A' in the 'Binom_xHR' column, improving data quality and relevance for users.

src/streamlit_app.py

@@ -23,6 +23,7 @@ def init_baselines():
     raw_display = pd.DataFrame(cursor)
     raw_display.rename(columns={"Names": "Player"}, inplace = True)
     raw_frame = raw_display.drop(columns=['_id']).drop_duplicates(subset='Player')
+    raw_frame = raw_frame[raw_frame['Binom_xHR'] != "#N/A"]
 
     return raw_frame