Update app.py

app.py

@@ -207,10 +207,16 @@ def create_for_bivariate_analysis(selected_files, df, i):
     bivariate_columns = st.multiselect("Select the columns to analyse ", df.columns.values,
                                  key= "bivariate_analysis_columns_" + str(i))
     
-    for col in bivariate_columns:
+    col_vals = []
+    
+    if col_vals:
+        for col in bivariate_columns:
+            col_vals.append(df[col])
         if viz_type == 'Cross Tab':
-            st.subheader(f"{col} --> {target_column}")
-            st.write(pd.crosstab(df[target_column], df[col], margins=True))
+            if len(col_vals) > 3 :
+                st.warning("Too many columns to split on. Please consider reducing the no of columns")
+            crosstab_df = pd.crosstab(df[target_column], col_vals, margins=True)
+            st.write(crosstab_df.to_html(),unsafe_allow_html=True)
 # 3 any other aggregation function can be used based on column type