Synthetic Data Doubles for Safer Prototyping

Documentation for package ‘dataganger’ version 0.6.1

assess_kanonymity	Assess k-anonymity over a set of quasi-identifier columns
check_code_readiness	Check whether synthetic data is code-compatible with the original
compare_synthetic	Compare original and synthetic datasets
dataganger_cli	DataGangeR command-line interface
detect_roles	Detect data roles for each column
enforce_kanon	Enforce k-anonymity on a synthetic dataset (output guarantee)
example_admin_claims	Example administrative claims dataset
example_health_survey	Example health survey dataset
example_registry	Example disease registry dataset
export_diagnostic_package	Export a Lens-compatible diagnostic schema for a dataset
export_synthetic	Export a synthetic data bundle
geographic_sample	Geographic synthetic sample data
individual_sample	Individual-level synthetic sample data
looks_aggregated	Heuristic: does this data frame look pre-aggregated (a table of counts)?
make_agent_bundle	Create a one-command agent-ready bundle from a raw data file
plot_comparison	Plot comparison summaries
privacy_check	Run disclosure-risk privacy checks
profile_data	Profile a dataset column-by-column
read_input	Read a data file into a tibble
report_issue	Report a problem or share feedback
run_app	Launch the DataGangeR Shiny Application
suggest_min_rows	Suggest a sufficient synthetic row count
synthesize_data	Synthesize a data double
synth_spec	Create a synthesis specification
temporal_sample	Temporal synthetic sample data