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 (https://twitter.com/carroll_jono) (Twitter) & @jonocarroll@fosstodon.org (https://fosstodon.org/@jonocarroll) (Mastodon) Best Practices for Data Cleaning and Preprocessing (https://www.jumpingrivers.com/blog/best-practices-data-cleaning-r/) Analyzing new USDA data using open source tools (https://blog.ketchbrookanalytics.com/posts/2023-08-09-geoparquet-for-usda-crop-maps/geoparquet-for-usda-crop-maps) Taking from Infinite Sequences (https://jcarroll.com.au/2023/08/18/taking-from-infinite-sequences/)+ Entire issue available at rweekly.org/2023-WXX (https://rweekly.org/2023-WXX.html) 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 (https://podcastindex.org/podcast/1062040) - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby (https://getalby.com/), 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 (https://twitter.com/theRcast) (Twitter) and @rpodcast@podcastindex.social (https://podcastindex.social/@rpodcast) (Mastodon) Mike Thomas: @mike_ketchbrook (https://twitter.com/mike_ketchbrook) (Twitter) and @mike_thomas@fosstodon.org (https://fosstodon.org/@mike_thomas) (Mastodon)