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UlavalSSD: Quebec Data and Tools for Introductory Data Science

Historical weather observations and food-establishment conviction records from Quebec for teaching data import, missing values, exploratory analysis and reproducible reporting. Includes bilingual prompts and feedback for a penguin data-cleaning exercise, and an optional static R code-style diagnostic based on 'lintr', as described by Hester and others (2025) <doi:10.21105/joss.07240>. Data are distributed as fixed teaching snapshots and require no network access during use.

Version: 0.3.1
Depends: R (≥ 4.1.0)
Suggests: knitr, lintr (≥ 3.4.0), rmarkdown, testthat (≥ 3.0.0)
Published: 2026-10-02
DOI: 10.32614/CRAN.package.UlavalSSD
Author: Aurélien Nicosia [aut, cre]
Maintainer: Aurélien Nicosia <nicosia.aurelien at gmail.com>
BugReports: https://github.com/AurelienNicosiaULaval/UlavalSSD/issues
License: MIT + file LICENSE
Copyright: see file COPYRIGHTS
URL: https://github.com/AurelienNicosiaULaval/UlavalSSD
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: UlavalSSD results

Documentation:

Reference manual: UlavalSSD.html , UlavalSSD.pdf
Vignettes: Working with Quebec teaching snapshots (source, R code)

Downloads:

Package source: UlavalSSD_0.3.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: UlavalSSD_0.3.1.zip
macOS binaries: r-release (arm64): UlavalSSD_0.3.1.tgz, r-oldrel (arm64): UlavalSSD_0.3.1.tgz, r-release (x86_64): UlavalSSD_0.3.1.tgz, r-oldrel (x86_64): UlavalSSD_0.3.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.