Package: dataganger 0.7.0

Lennon Li

dataganger: Synthetic Data Doubles for Safer Prototyping

Creates synthetic data doubles from real datasets for prototyping, teaching, 'shiny' development, and AI-assisted programming. Provides data profiling, role detection, configurable synthesis, utility comparison, and disclosure-risk warnings. Synthetic outputs are intended to reduce direct disclosure risk, not to guarantee privacy.

Authors:Lennon Li [aut, cre]

dataganger_0.7.0.tar.gz
dataganger_0.7.0.zip(r-4.7-any)dataganger_0.7.0.zip(r-4.6-any)dataganger_0.7.0.zip(r-4.5-any)
dataganger_0.7.0.tgz(r-4.6-any)dataganger_0.7.0.tgz(r-4.5-any)
dataganger_0.7.0.tar.gz(r-4.7-any)dataganger_0.7.0.tar.gz(r-4.6-any)
dataganger_0.7.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dataganger/json (API)

# Install 'dataganger' in R:

install.packages('dataganger', repos = c('https://lennon-li.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lennon-li/dataganger/issues

Pkgdown/docs site:https://dataganger.biostats.ai

Datasets:

example_admin_claims - Example administrative claims dataset
example_health_survey - Example health survey dataset
example_registry - Example disease registry dataset
geographic_sample - Geographic synthetic sample data
individual_sample - Individual-level synthetic sample data
temporal_sample - Temporal synthetic sample data

On CRAN:

5.00 score 19 exports 35 dependencies

Last updated from:e6bd412638. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	299
source / vignettes	OK	268
linux-release-x86_64	OK	279
macos-release-arm64	OK	209
macos-oldrel-arm64	OK	152
windows-devel-x86_64	OK	248
windows-release-x86_64	OK	341
windows-oldrel-x86_64	OK	226
wasm-release	OK	162

Exports:assess_kanonymity check_code_readiness compare_synthetic dataganger_cli detect_roles enforce_kanon export_diagnostic_package export_synthetic looks_aggregated make_agent_bundle plot_comparison privacy_check profile_data read_input report_issue run_app suggest_min_rows synth_spec synthesize_data

Dependencies:bit bit64 cellranger cli clipr cpp11 crayon digest dplyr forcats generics glue haven hms jsonlite lifecycle magrittr pillar pkgconfig prettyunits progress R6 readr readxl rematch rlang tibble tidyselect tzdb utf8 vctrs vroom withr yaml zip

Privacy gating and Agent workflows

Rendered fromprivacy-and-ai-workflow.Rmdusingknitr::rmarkdown

Last update: 2026-07-10
Started: 2026-06-30

Citation

Development and contributors

Readme and manuals

Help Manual

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