R Weekly Highlights

Issue 2023-W34 Highlights

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A few key practices for data preprocessing leveraging the tidyverse, more amazing wins with open source to process high-dimensional USDA geospatial data sets, and an infinitely fascinating look at how recursion and infinite data structures can be used in your R adventures.

Episode Links

  • This week's curator: Jon Carroll - @carroll_jono (Twitter) & @[email protected] (Mastodon)
  • Best Practices for Data Cleaning and Preprocessing
  • Analyzing new USDA data using open source tools
  • Taking from Infinite Sequences+ Entire issue available at rweekly.org/2023-WXX

    • Supplement Resources

    • janitor package by Sam Firke https://sfirke.github.io/janitor
    • CRAN task view on missing data https://cran.r-project.org/web/views/MissingData.html
    • Tidy modeling with R https://www.tmwr.org/

      • Supporting the show

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      • R-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.
      • A new way to think about value: https://value4value.info
      • Get in touch with us on social media
        • Eric Nantz: @theRcast (Twitter) and @[email protected] (Mastodon)
        • Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
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          R Weekly HighlightsBy Eric Nantz
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