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Data preprocessing is a data mining technique that involves transforming raw data into a better understandable or more useful format.

Real-world data is often incomplete, inconsistent, and/or lacking in certain behaviors or trends, and is likely to contain many errors. Data preprocessing is a proven method of resolving such issues. Data preprocessing prepares raw data for further processing or predictive modeling.