Example Notebooks

Notebooks:

• Example analyzation and anonymization of sensitive dataset
  • Create ARXaaS connection
  • fetch sensitive data
    • Create Dataset
    • Set the AttributeType for the dataset fields
    • Set Generalization Hierarchies
    • Create Privacy Models
    • Create Risk Profile
    • Anonymize
  • Anonymization Status
  • RiskProfile for the anonymized dataset
• Hierachy generation using PyARXaaS
  • Create connection to ARXaaS
  • Fetch data
    • Create Redaction based hierarchy
  • 1. Extract column to create hierarchy from
  • 2. Create hierarchy builder to use
  • 3. Call the ARXaaS service to create the hierarchy
  • Redaction hiearchy without configuration
    • Create interval based hierarchy
  • 1. Extract column to create hierarchy from
  • 2. Create hierarchy builder to use
  • 3. Add intervals to the builder. The intervals must be continous(without gaps)
  • 4. (Optionally) Add groupings. Groupings are added to a specific level and are order based according to the interval order
  • 3. Call the ARXaaS service to create the hierarchy
    • Create Order based hierarchy
  • 1. Extract column to create hierarchy from
  • 2. Strip to uniques
  • 3. Order column values
  • 2. Create hierarchy builder to use
  • 3. Group the values
  • 3. Call the ARXaaS service to create the hierarchy
    • Create Date based hierarchy
  • 1. Create the builder
    • Example anonymization