Update pages/2_Data_CLeaning_and_Preprocessing.py

pages/2_Data_CLeaning_and_Preprocessing.py

@@ -85,6 +85,10 @@ if df is not None:
     cleaned_data = df.drop_duplicates()
     st.write(cleaned_data)
 
+    # Store cleaned data in session state for use in next page
+    st.session_state.cleaned_data = cleaned_data  # Store cleaned data in session state
+
+    # Convert cleaned data to CSV and provide a download button
     cleaned_csv = cleaned_data.to_csv(index=False).encode('utf-8')
     st.download_button(
         label="Download Cleaned Dataset",