Welcome to our repo for Coursework 2.
Data anonymisation for 2 scenarios:
- research use: aim to keep individual level data but reduce risk of re-identification of individuals
- release for public use: aim to keep group level data but avoid pseudonymisation
anonymizer.py takes the data from Data/customer_information.csv, manipulates it, then saves it in the same place.
Researchers.py creates the data set for research use Researchers_v2.py employes a differnt set of methods for anonymisation, aiming to retain high level of granularity.