Under 2-5%: consider dropping. Over 20%: consider dropping the column entirely. Between: assess further. 2. **Randomness of missing data** — Randomly missing: safe to drop rows. Systematically missing (e.g., high-value customers more likely to skip a field): dropping introduces bias; fill instead. 3