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) & @jonocarroll@fosstodon.org (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 Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback 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 @rpodcast@podcastindex.social (Mastodon) Mike Thomas: @mike_ketchbrook (Twitter) and @mike_thomas@fosstodon.org (Mastodon)