Add pct change

clients.py

@@ -426,11 +426,28 @@ def display_analytics():
     rengagement_df = fetch_analytics_data(rengagement_host, start_date, end_date)
     hook_df = fetch_analytics_data(hook_host, start_date, end_date)
     
-    st.html('<h4 class="hero-subtitle">Cold Emails</h4>')
-    st.dataframe(cold_df)
+    # Calculate percentage change for each dataframe
+    def calculate_percentage_change(df):
+        df = df.sort_values(by=['email_receiver', 'week'])  # Ensure data is sorted by week
+        df['Percentage Change'] = df.groupby('email_receiver')['Total Companies/Executives engaged'].pct_change() * 100
+        df['Percentage Change'] = df['Percentage Change'].fillna('No Data')  # Handle NaN values
+        return df
+
+    cold_df = calculate_percentage_change(cold_df)
+    rengagement_df = calculate_percentage_change(rengagement_df)
+    hook_df = calculate_percentage_change(hook_df)
+    
+    # Display dataframes side by side
+    col1, col2, col3 = st.columns(3)
+    
+    with col1:
+        st.html('<h4 class="hero-subtitle">Cold Emails</h4>')
+        st.dataframe(cold_df)
     
-    st.html('<h4 class="hero-subtitle">Re-engagement Emails</h4>')
-    st.dataframe(rengagement_df)
+    with col2:
+        st.html('<h4 class="hero-subtitle">Re-engagement Emails</h4>')
+        st.dataframe(rengagement_df)
     
-    st.html('<h4 class="hero-subtitle">Re-engagement Hooks "Hook2Lead"</h4>')
-    st.dataframe(hook_df)
+    with col3:
+        st.html('<h4 class="hero-subtitle">Re-engagement Hooks "Hook2Lead"</h4>')
+        st.dataframe(hook_df)