Update app.py

app.py

@@ -60,8 +60,11 @@ def is_matching_pattern(column, prefix):
 def multi_answer(df):
     friquency = {}
     for i in df.columns:
-        unique_values = list(set(df[i].dropna()))[0]
-        friquency[str(unique_values)] = df[i].value_counts().get(unique_values, 0)
+        try:
+            unique_values = list(set(df[i].dropna()))[0]
+            friquency[str(unique_values)] = df[i].value_counts().get(unique_values, 0)
+        except Exception as e:
+            st.error(f"Warning: One of the data columns has no value.: {e}")
 
     friquency_dataframe = pd.DataFrame({"Value": friquency.keys(), "Friquency": friquency.values(), "Percentage": np.array(list(friquency.values()))/len(df.dropna(how='all'))*100}).sort_values(by='Value')
     friquency_dataframe.loc[len(friquency_dataframe)] = ['Sample_size', len(df.dropna(how='all')), 1]
@@ -246,13 +249,8 @@ if main_option == "Tabulation":
                         matching_cols = [col for col in df.columns if is_matching_pattern(col, var)]
                         if matching_cols:
                             subset_df = df[matching_cols]
-                            #####################################################################
-                            try:
-                                result_df = multi_answer(subset_df)
+                            result_df = multi_answer(subset_df)
                                 
-                            except Exception as e:
-                                st.error(f"❌ tabee: {e}")
-                            
                             st.subheader("Multiple Answer Analysis Results")
                             st.dataframe(result_df)