E-Commerce Analysis

In this project, you will work with the **UCI Online Retail Dataset**, a real transactions dataset from a UK-based online store with over 500,000 rows. You will clean it, filter it, and compute your first business metric.

1. Download the UCI Online Retail [Dataset](https://archive.ics.uci.edu/dataset/352/online+retail) (available on Kaggle or the UCI ML Repository)
2. Sample 10% of rows to keep things manageable
3. Clean the data: remove nulls, fix data types, filter out returns, and free items
4. Convert `InvoiceDate` to a proper `datetime` object
5. Create a `Revenue` column (`Quantity × UnitPrice`)
6. Find the top 10 countries by total revenue and plot the result