What does Facebook's portability platform really look like? This repository will let you explore some anonymized data and anonymize your own data if you so desire.
The anonymized Facebook data can be found in the folder facebook-data-anonymous. To get a sense of how the data in each file is structured, check out the facebook-data-examples folder for some fun examples using the made up profile of Alan Aaronson. Then you can go to datastructures.json for the anonymization rules, which give a less overwhelming sense of the barebones structure of the data set.
More technically inclined users can either poke around this data using pandas in a Jupyter Notebook or download and anonymize their own data.
Before running any of the code in this project, make sure to set up the environment.
pipenv --python 3.5 shell
pipenv install
To explore the data using a Jupyter Notebook, simply run the jupyter notebook command in the terminal, and when http://localhost:8888/ opens on the browser, select notebooks/pandas_sandbox.ipynb
To anonymize your own data, download your data from Facebook as a JSON and move the facebook-data folder you get into this directory. Your own anonymized data should appear in teh facebook-data-anonymous folder after running:
cd scripts
python anonymize_data.py