Customer Shopping Analysis Using Python

This project focuses on analyzing customer shopping behavior using Python. I worked with a dataset containing 3,900 customer records to explore shopping patterns, product preferences, and purchasing behavior.

The analysis includes examining product categories, payment methods, seasonal sales, customer subscriptions, and customer ratings to extract useful insights from the data.

Tools used: Python, Pandas, Matplotlib, Data Analysis.