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
- 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 @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
