Getting Started

This is a quick introduction to OpenDP’s Python and R APIs.

For a more conceptual overview of differential privacy see the Theory section, and for Python, R, and Rust library reference see the API documentation.

• Quickstart
• Typical Workflow
• Working with Tabular Data
  • Essential Statistics
  • Grouping
  • Preparing Microdata
• Statistical Modeling
  • Differentially Private PCA
• Assessing Utility
  • Accuracy
• More Examples
  • Example Data Analysis
  • Working with Unknown Dataset Sizes
  • Privatizing Histograms