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  • Data Cleansing is the process used in eliminating impurities within a dataset.
  • Dataset take different format/structures. Converting data between these various data structures is known as Data Transformation.

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Data cleaning is the process that removes data that does not belong in your dataset. Data transformation is the process of converting data from one format or structure into another. 

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