Data cleansing, also known as data cleaning or scrubbing, is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset. It involves identifying incomplete, incorrect, inaccurate, irrelevant parts of the data and then replacing, modifying, or deleting them.
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