A simple data analysis project exploring sales trends, profit patterns, and the impact of discounts using Python.
The dataset is randomly generated. It contains 500 clean rows with no null values or duplicates, across columns like Category, Region, Sales, Discount, and Profit.
| Library | Use |
|---|---|
pandas |
Data loading & grouping |
numpy |
Numerical operations |
matplotlib |
Charts & visualizations |
statistics |
Mean, median, std deviation |
