This project analyzes sales, shipping mode data, and customer behavior using Python, focusing on answering key business questions with visualizations and data analysis.
- Which product is returned most often?
- High rating = customer returns?
- Sales trend over months.
- Shipping costs vs sales.
The project uses seaborn and matplotlib to create visualizations that answer the above business questions.
Data is processed and reshaped to generate insights on product returns, customer ratings, sales trends, and shipping costs.