The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers
Dataset
This dataset contains a sample of transactional data of customers who purchased products from the Walmart Stores during Black Friday sale
Aim: To analyze relationship of purchase amount against customer features, with added importance to gender
Methods and Techniques used: EDA and hypothesis testing
Features
- User_ID: User ID
- Product_ID: Product ID
- Gender: Sex of User
- Age: Age in bins
- Occupation: Occupation(Masked)
- City_Category: Category of the City (A,B,C)
- StayInCurrentCityYears: Number of years stay in current city
- Marital_Status: Marital Status
- ProductCategory: Product Category (Masked) *Purchase: Purchase Amount
With hypothesis testing, we proved below with a significance level of 0.01
- Men spend more than women on average (purchase value)
- Male customers tend to have higher average order value than female customers (AOV signifies purchasing power/disposable income)
- Marriage reduced the average order value for men while increased for women