Chapter 2 – Understanding Data Quality and Why Data Cleaning is Important
- A – The extent to which data represents true values and attributes
- D – Human errors during data entry
- B – Data completeness
- B – It helps maintain data integrity and accuracy
- B – A culture of data stewardship
- A – Proactively identifying and addressing data quality issues
- C – Criteria for data accuracy, completeness, consistency, validity, and timeliness
- A – Minimizing human errors
- B – They automate the data cleaning process
