Veil is a collection of utilities to help deidentify datasets. Currently, the main purpose of Veil is to provide
an easy way to create a reference table for an ID column that is sensitive and to map it to any number of downstream
dataframes. Veil relies on Pandas to do most of the heavy lifting, and simply provides a way to concisely deidentify
and reidentify columns where necessary.
TODO:
- Add module to work with date columns
- Provide more saving formats for
id_veil.save() - Add tests
The de-identification criteria for protected health information in the United States is described here
MIT