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{{Citations needed|date=August 2023}}
'''Data preprocessing''' can refer to manipulation or dropping of data before it is used in order to ensure or enhance performance,<ref>{{Cite web|title=Guide To Data Cleaning: Definition, Benefits, Components, And How To Clean Your Data|url=https://www.tableau.com/learn/articles/what-is-data-cleaning|access-date=2021-10-17|website=Tableau|language=en-US}}</ref> and is an important step in the [[data mining]] process. The phrase [[GIGO|"garbage in, garbage out"]] is particularly applicable to [[data mining]] and [[machine learning]] projects. [[Data collection]] methods are often loosely controlled, resulting in out-of-range values, impossible data combinations, and [[missing values]], amongst other issues.
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