Update app.py

app.py

@@ -199,14 +199,18 @@ def create_component_for_analysis_for_single_df(selected_files, dfs, i):
                 create_for_bivariate_analysis(selected_files, df, i)                        
 
 def create_for_bivariate_analysis(selected_files, df, i):
+    with st.sidebar:
+        # st.subheader("Visualisation Type")
+        viz_type = st.radio("What type of Visualisation?",("Cross Tab",'Box Plot'))  
     target_column = st.selectbox("Select the target column ", df.columns.values,
                                  key= "bivariate_target_column_" + str(i))
     bivariate_columns = st.multiselect("Select the columns to analyse ", df.columns.values,
                                  key= "bivariate_analysis_columns_" + str(i))
     
     for col in bivariate_columns:
-        st.subheader(f"{col} --> {target_column}")
-        st.write(pd.crosstab(df[target_column], df[col], margins=True))
+        if viz_type == 'Cross Tab':
+            st.subheader(f"{col} --> {target_column}")
+            st.write(pd.crosstab(df[target_column], df[col], margins=True))
 # 3 any other aggregation function can be used based on column type