Cleaned Netflix

Retail orders: cleaned a 525-row dataset (built to be messy) with 4 date formats, hidden duplicates, and a repeated-quantity error. I flagged estimated values instead of filling them silently. Then I showed that Furniture had the highest revenue, even though it was not the top category by units sold.