To generate fake data (also called mock data), one can use available open-source libraries and generate it without a need to touch production data. This data is randomly generated for each specified column. Fake or mock data does not contain any of the properties and relationships of the original dataset. It is fully anonymous but does not retain any statistics of the original dataset.
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