What is data cleaning?

Publicado por aishaa90 aishaa90
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Data cleansing is the process of identifying and correcting errors in a data set, such as a table or record. This includes deduplicating data, dealing with missing values, cleaning up formatting errors and validating towards expected data types. Mini-Challenge 2: Data cleaning (text standardization, outlier correction and consistent format across datasets). It’s vital because bad data begets poor results and bad business.
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