Data preprocessing/preparation/cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset, or and refers to identifying incorrect, incomplete, irrelevant parts of the
Data and then modifying, replacing, or deleting the dirty or coarse
Data.