A dataset profiles negative quantities. Some are valid returns and others are entry errors. What is the sound preparation approach?

1. Remove every negative value automatically
2. Replace every negative with zero without review
3. Change all negatives to positive values
4. Apply business rules that distinguish legitimate returns from invalid entries