This project analyzes customer shopping trends using Python and Seaborn. It explores customer demographics, purchase categories, and habits. The visualizations provide insights into promo code usage, popular shopping seasons, and customer reviews. Ideal for businesses looking to refine their marketing strategies.
The dataset used in this project is sourced from Kaggle. You can find it here.
- Python
- Pandas
- Seaborn
- Distribution of purchases by gender
- Distribution of purchases by age
- Distribution of purchases by category
- Usage of promo codes
- Popular shopping seasons
- Clone this repository
- Install required Python packages:
pip install -r requirements.txt - Open the Jupyter Notebook:
jupyter notebook - Run the notebook cells