fix: Drop null columns

app.py

@@ -60,6 +60,9 @@ def plot_anomalies(df_test_value, data, anomalies):
     return fig
 
 def clean_data(df):
+    # Drop rows with any null data
+    df = df.dropna()
+
     # Check if the DataFrame already contains the correct columns
     if "timestamp" in df.columns and "value" in df.columns:
         df["timestamp"] = pd.to_datetime(df["timestamp"])