In media and market research, the process of detecting, correcting or removing inaccurate records from a dataset. This is one step in the research process which occurs after data has been collected, but before data is analyzed. Data cleaning can involve a series of procedures to identify and eliminate “bad” data from one or more data files, including but not limited to–out of range or outlying variables, logical inconsistencies, and skip pattern errors.
