Data cleansing involves the process of removing or correcting ____________ in the data.

  • Anomalies
  • Errors
  • Inconsistencies
  • Irregularities
Data cleansing is about rectifying inconsistencies or anomalies in the data, ensuring data quality and integrity for accurate analysis and decision-making.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *