What is Data Cleaning? Data cleaning is identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from a dataset. It involves detecting and correcting spelling mistakes, missing values, inconsistencies, and duplicate records.  Its main goal is to ensure that the ...