Issue 2023-W34 Highlights

R Weekly Highlights

Content provided by Eric Nantz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Nantz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

11M ago 42:29

MP3•Episode home

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)

172 episodes

#Science #Eric Nantz