Update app.py

app.py

@@ -56,8 +56,8 @@ def calculate_kpis(df):
     else:
         top_five_product = "there are less than 5 products in this dataset"
 
-    if df['Name'].nunique() > 1:
-        best_branch = df.groupby('Name')['Price'].sum().nlargest(1).index.tolist()
+    if df['Branch_Name'].nunique() > 1:
+        best_branch = df.groupby('Branch_Name')['Price'].sum().nlargest(1).index.tolist()
     else:
         best_branch = "there is only one branch in this dataset"
         
@@ -66,7 +66,7 @@ def calculate_kpis(df):
 
     # Calculate Customer Purchase Frequency (Requires more data for accurate calculation)
     # Assuming 'Member Card No_' is a unique identifier for customers
-    customer_purchase_frequency = df.groupby('Name.1')['Receipt No_'].nunique().mean()
+    customer_purchase_frequency = df.groupby('Customer_Name')['Receipt No_'].nunique().mean()
 
     # Calculate Estimated Customer Lifetime Value (CLTV) (Requires more data for accurate calculation)
     # Assuming a simple CLTV model based on AOV and purchase frequency