Update dashboard_CLOUD.py

dashboard_CLOUD.py

@@ -283,6 +283,7 @@ def main():
         # Get the data for the selected customer
         input_data      = customer_data_preprocessed[customer_data_preprocessed['SK_ID_CURR'] == sk_id_curr].iloc[0].to_dict()
         input_data_copy = customer_data_copy[customer_data_copy['SK_ID_CURR'] == sk_id_curr].iloc[0].to_dict()
+
 
         # =========================================================================
         # COMPARATIVE ANALYSIS USING GRAPHS
@@ -302,25 +303,24 @@ def main():
         # Separate data for full dataset and current customer
         full_data_values = customer_data_copy[selected_feature]
         customer_value = customer_data_copy[selected_feature].iloc[0]
-        st.write("full_data_values")
-        st.write(full_data_values)
-        st.write("customer_value")
-        st.write(customer_value)
 
-        # Create line plot with highlighting
-        plt.plot(full_data_values, color='gray', label='All Clients', alpha=0.7)  # Add transparency for better visibility
+        # Create bar chart with highlighting
+        plt.figure(figsize=(20, 12))  # Adjust figure size for better visualization
+
+        # Plot full dataset data with a grey color
+        plt.bar(range(len(full_data_values)), full_data_values, color='gray', alpha=0.7, label='All Clients')
 
-        # Highlight current customer with red dot
-        plt.scatter(customer_index, customer_value, marker='o', color='red', s=100, label='Current Customer')  # Adjust marker size (s)
+        # Highlight current customer with a red bar
+        plt.bar(customer_index, customer_value, color='red', label='Current Customer')
 
         plt.xlabel('Customer Index')
         plt.ylabel(selected_feature)
         plt.title(f'{selected_feature} Distribution')
+        plt.xticks(range(len(full_data_values)), rotation=45, ha='right')  # Rotate x-axis labels for better readability if many customers
         plt.legend()
         plt.tight_layout()
         st.pyplot(plt.gcf())
 
-
 
         # =========================================================================
         # CUSTOMERS BASIC INFORMATIONS