This repository presents a comprehensive exploratory data analysis (EDA) project that investigates customer shopping trends and sales performance using Python. It showcases how data-driven insights can help understand purchasing behavior, seasonal patterns, and key business questions for retail optimization.
- Python
- Pandas
- Seaborn
- Matplotlib
- Jupyter Notebook
consumer behavior · retail analytics · sales trends · data visualization · EDA · shopping insights · Python data analysis · customer segmentation · pandas · seaborn