Look into this jupyther notebook data-privacy-methods.ipynb -> results are pre-rendered

• install conda
• conda create --name myenv python=3.7
• conda activate myenv
• conda install pandas==0.25
• conda install matplotlib

• set the python interpreter/kernel = myenv in your favourite IDE (in which should run jupyter notebook)
• run the jupyter notebook

• change privacy methods parameter (kAnonym, lDivers, tClose)
• you can choose if your numeric data partitions should be displayed as a range or as an average
• categorial data are always displayed as unique sets

• in "Enter dataset & privacy parameters"
  • add dataColumnDisplayedDifferently = set(('YourChosenColumn',))
• in the "Generating anonymous Dataset" section:
  • add your custom function there
• in build_anonymized_dataset() function:
  • add an ifel condition for your dataColumnDisplayedDifferently set