This project analyzes retail sales data to understand customer behavior, sales trends, and product performance.
- Python (Pandas, NumPy)
- Matplotlib & Seaborn
- Jupyter Notebook
- Customer behavior is similar across age and gender
- Sales show seasonal variation
- Electronics category performs slightly better
- Most customers are low spenders
- Jupyter Notebook (.ipynb)
- Dataset (.csv)
- Project Presentation (.pptx)
The analysis shows that customer behavior is consistent, sales vary across months, and high-value customers play a key role in revenue generation.