Data Cleaning and Pre-processing in R

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/

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  • Eric Nantz: @theRcast (Twitter) and @rpodcast@podcastindex.social (Mastodon)
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