Explain data cleansing.

1.	Explain data cleansing.
Answer» Data cleaning, also known as data cleansing or data scrubbing or wrangling, is basically a process of identifying and then modifying, REPLACING, or deleting the INCORRECT, INCOMPLETE, inaccurate, IRRELEVANT, or missing portions of the data as the need arises. This fundamental element of data science ensures data is CORRECT, consistent, and usable.

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