To generate fake data (also called mock data), one can use available open-source libraries such as Faker 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.
We recently launched a free open-source fake data generation tool that is leveraging a fine-tuned LLM to create tabular data. Click here to chek out DataLLM.
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