2. Dataset
Column Name Data Type Description
CustomerID Numeric Unique identi
fi
er for each customer.
Gender Categorical Gender of the customer (e.g., Male, Female).
Location Categorical Location or address information of the customer.
Tenure_Months Numeric Number of months the customer has been associated with the platform.
Quantity Numeric Quantity of the product purchased in the transaction.
Avg_Price Numeric Average price of the product.
Transaction_ID Numeric Unique identi
fi
er for each transaction.
Product_Category Categorical Category to which the product belongs.
Transaction_Date Date Date of the transaction.
Month Categorical Month of the transaction.
Coupon_Code Categorical Code associated with a coupon, if applicable.
Product_SKU Categorical Stock Keeping Unit (SKU) identi
fi
er for the product.
Product_Description Categorical Description of the product.
Delivery_Charges Numeric Charges associated with the delivery of the product.
Coupon_Status Categorical Status of the coupon associated with the transaction.
GST Numeric Goods and Services Tax associated with the transaction.
Date Date Date of the transaction (potentially redundant with Transaction Date).
Of
fl
ine_Spend Numeric Amount spent o
ffl
ine by the customer.
Online_Spend Numeric Amount spent online by the customer.
Discount_pct Numeric Percentage of discount applied to the transaction.
Transaction data from 2019 Features: 20 Records: 53 000
