2 1. Data Overview

2.1 1.1 Data Loading and Preparation

4 Customer Insights

Top Customers by Total Spend
Customer Total_Spent
Frank 68100
Alice 50700
Bob 42950
Eve 42950
Diana 38400
Charlie 38050

5 Product Performance