cataScience: Interactive Training App for Data Science and AI Skills

An interactive 'shiny' training companion for people who are new to data, developed for World Health Organization data trainings. Bundles hands-on modules for importing data, missing values, outliers, text cleaning, merging, visualization, and basic statistics, plus a set of AI-skills pages (prompting levels, a prompt gallery, AI safety rules, and a methodology case study) and an interactive quiz with per-session topic filters. Launch the app with run_cata().

Version:	2.1.2
Depends:	R (≥ 4.1.0)
Imports:	broom, bslib (≥ 0.6.0), cowplot, dplyr (≥ 1.1.0), DT, forcats, ggplot2, markdown, mice, naniar, plotly, purrr, readr, readxl, rio, scales, shiny (≥ 1.8.1), skimr, stringr, tibble, tidyr, VIM
Suggests:	testthat (≥ 3.0.0), withr
Published:	2026-07-30
DOI:	10.32614/CRAN.package.cataScience
Author:	Shanlong Ding [aut, cre]
Maintainer:	Shanlong Ding <dings at who.int>
BugReports:	https://github.com/shanlong-who/cataScience/issues
License:	MIT + file LICENSE
URL:	https://github.com/shanlong-who/cataScience
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	cataScience results

Documentation:

Reference manual:

cataScience.html , cataScience.pdf

Downloads:

Package source:	cataScience_2.1.2.tar.gz
Windows binaries:	r-devel: cataScience_2.1.2.zip, r-release: cataScience_2.1.2.zip, r-oldrel: cataScience_2.1.2.zip
macOS binaries:	r-release (arm64): cataScience_2.1.2.tgz, r-oldrel (arm64): cataScience_2.1.2.tgz, r-release (x86_64): cataScience_2.1.2.tgz, r-oldrel (x86_64): cataScience_2.1.2.tgz

Linking:

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