<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Quebec Data and Tools for Introductory Data Science</dc:title>
  <dc:title>R package UlavalSSD version 0.3.1</dc:title>
  <dc:description>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)
    &lt;doi:10.21105/joss.07240&gt;. Data are distributed as fixed teaching snapshots
    and require no network access during use.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Suggests: knitr, lintr (&gt;= 3.4.0), rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Aurélien Nicosia &lt;nicosia.aurelien@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Aurélien Nicosia [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=UlavalSSD/LICENSE)</dc:rights>
  <dc:date>2026-10-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=UlavalSSD</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.UlavalSSD</dc:identifier>
</oai_dc:dc>
