Always look at your data before analyzing 2. **Ignoring missing values** - Understand why data is missing 3. **Inappropriate imputation** - Don't fill undefined values (0/0 percentages) 4. **Over-interpreting correlations** - Correlation is not causation 5. **Using wrong visualization** - Match char