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
