In this quick Tutorial, we will illustrate some well-known anonymization techniques using some simple examples. We do so from a developer perspective and at the same time want to allow for a better understanding through interactive tinkering. For this purpose, we employ the python programming language and some broadly used packages. These are ensured to be installed above. In particular, this includes:
- Pandas, a function-rich framework for handling and managing data, which is the de-facto-standard used by Data scientists (which will be accessed below under the pd-shortcut)
- Numpy, a package for fast and advanced computations in Python (used via the NP shortcut)
- PyDP, a python wrapper around Google's Differential Privacy Suite (simply used as dp).
- Matplotlib and Seaborn, two packages commonly used together for easily drawing nice and mathematically function-rich diagrams
To run the demo interactively, just hit the button below.
