# Synthetic Data Doubles for Safer Prototyping

## Documentation for package ‘dataganger’ version 0.6.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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