This project explores and analyzes a retail order dataset to uncover key business insights such as customer behavior, sales performance, order trends, and product demand.
Retail businesses collect large volumes of transactional data. The goal of this project is to:
- Clean and explore the retail order dataset
- Perform exploratory data analysis (EDA)
- Visualize insights using Python libraries
- top 10 highest revenue generating products?
- top 5 highest selling product in each region?
- find month over month growth for year 2022 and 2023?
- for each category which month has highest sale?
- which sub category had highest growth by profit in 2023 compare to 2022?