Common Data Quality Issues
Common Data Quality Issues
Real-world datasets often contain errors that affect analysis.
Typical Issues
- Missing values
- Duplicate records
- Incorrect formatting
- Outliers
Identifying these issues is the first step toward data cleaning.
