revised to correct the outlier report errors

app.py

@@ -116,7 +116,7 @@ def clean_data_and_report_outliers(df):
     outlier_report = []
     price_columns = [col for col in df.columns if '_volume' not in str(col).lower()]
     for ticker in price_columns:
-        numeric_prices = pd.to_numeric(df[ticker], errors='coerce')
+        numeric_prices = pd.to_numeric(df[ticker], errors='coerce').replace(0, np.nan)
         daily_pct_change = numeric_prices.pct_change().abs()
         outlier_days = daily_pct_change[daily_pct_change > 1.0].index
         if not outlier_days.empty: