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Masking data for discoverable datasets

Data masking enables you to either hide or change the values of a column containing sensitive data in a data.world dataset. One common use case for masking data is creating a preview, or sample, table for discoverable datasets. If the sensitive data is masked, anyone can see that it exists in the data source without being able to see the values until and unless they are granted access. data.world has two different ways of masking data: