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 [issues need fixing before 2026-08-26] |
Documentation:
Downloads:
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