https://github.com/nikhilsree5/walmartcasestudy

Analysis of Customer Spending Habits at Walmart Inc
https://github.com/nikhilsree5/walmartcasestudy

clt eda numpy pandas python3 statistics visualization

Last synced: about 1 month ago
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Analysis of Customer Spending Habits at Walmart Inc

• Host: GitHub
• URL: https://github.com/nikhilsree5/walmartcasestudy
• Owner: nikhilsree5
• Created: 2024-11-19T15:05:09.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-19T16:09:52.000Z (about 2 months ago)
• Last Synced: 2024-11-28T04:07:28.686Z (about 1 month ago)
• Topics: clt, eda, numpy, pandas, python3, statistics, visualization
• Language: Jupyter Notebook
• Homepage: https://github.com/nikhilsree5/WalmartCaseStudy
• Size: 2.18 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Business Case: Walmart - Confidence Interval and CLT

## 🎯 Objective

The objective of this project is to conduct a comprehensive analysis of customer purchase behavior, with a specific focus on purchase amounts, in relation to customer gender during the Black Friday sales event at Walmart Inc. This study aims to provide valuable insights that can assist the management team at Walmart Inc. in making data-driven decisions.

## 📝 Project Report

- You can access the complete project python file here - [Python](https://github.com/nikhilsree5/WalmartCaseStudy/blob/main/Case_Study_Walmart.ipynb)

- You can access the complete project in pdf format here - [Report](https://github.com/nikhilsree5/WalmartCaseStudy/blob/main/Business%20Cas4%20Walmart-%20Nikhil%20K%20A.pdf)

## 📚 About Data

The company collected the transactional data of customers who purchased products from the Walmart Stores during Black Friday.It has information of about 0.5 Million transactions during Black Friday throughout various years.

| Feature | Description |

|:--------|:------------|

| User_ID | User ID of the Customer |

| Product ID | Product ID of the Purchased Product |

| Gender | Gender of the Customer (Male/Female) |

| Age | Age of the Customer (in bins) |

| Occupation | Occupation of the Customer (Masked) |

| City_Category | Category of the City (A,B,C) |

| StayInCurrentCityYears | 	Number of years stay in current city | 

| Marital_Status | Marital Status (0 - Unmarried / 1 - Married) | 

| ProductCategory | Product Category (Masked) | 

| Purchase | Purchase Amount |

# Business Case Study Achievements

- Analyzed Walmart's customer purchase behavior by gender, extracting and cleaning relevant data using Python libraries.

- Performed statistical analysis and data visualization to identify spending patterns and differences between male and female customers.

- Discovered that 40% of customer purchases are by customers aged 26-35 years and 20% are by customers aged 36-45.