#Authors Long Bui & Allisa Dao

Ecommerce-Customer-Analysis-and-Segmentation

This repository contains the code and data for the Customers Segementation project. The project aims to divide customers into specific groups based on certain factors. Y

1. Project Overview

The project consists of the following components:

• Exploratory Analysis: The initial phase involves conducting exploratory analysis to uncover the distribution of demographics among cusomters. Variables such as age, gender, and education will be analyzed to gain insights into the applicant pool.
• Clustering: The project utilizes k-means clustering and PCA to identify patterns and group applicants based on their demographic characteristics. This analysis provides a deeper understanding of different segments within the customers.

2. Goals

• Conducting statistical analysis for customers' information under RFM, CLV methods to segment customers into different groups and then analyze each groups to enhance company's profits.

3. Results

The project's findings and insights are documented in the project report.

4. Contributing

Contributions to this project are welcome. Feel free to open issues or submit pull requests for any enhancements or bug fixes.

5. Contact

For any inquiries or questions regarding the project, please contact me at builo@dickinson.edu