Update app.py

app.py

@@ -56,7 +56,27 @@ if uploaded_files:
             imputer = SimpleImputer(strategy='most_frequent')
             df[categorical_cols] = imputer.fit_transform(df[categorical_cols])
             dataframes[i] = df
+
+    
+    selected_out = st.select("เลือก columns ที่จะดู Outlier", value=False)
+    if selected_out:
+    for col in selected_out:
+        if col in df.columns:
+            st.write(f"คอลัมน์ {col}:")
+            
+            # Calculate Z-Scores for the selected column
+            z_scores = np.abs((df[col] - df[col].mean()) / df[col].std())
+            
+            # Set a threshold for identifying outliers (e.g., z_score > 3)
+            threshold = 3
             
+            # Identify outliers
+            outliers = df[z_scores > threshold]
+            
+            st.write("Outliers:")
+            st.write(outliers)
+
+    
     st.markdown("Data transform")
     
     for i, df in enumerate(dataframes):