This project reviews Amazon pricing data to see how prices and discounts change across product categories.
I used Python and Pandas to clean the dataset, create discount-related fields, and compare categories. The goal was to understand how discount behavior changes from one category to another.
- Cleaned the dataset and fixed formatting issues
- Created columns to measure discount differences
- Compared categories to look for pricing patterns
- Organized the data for easier analysis
- Some categories had higher discounts more often
- Discounts were not spread evenly across all products
- Pricing behavior changed depending on the category
- Python
- Pandas
- Clean data matters as much as the analysis
- Small errors can affect the results
- Breaking the work into steps makes the data easier to understand