How to Use R to Create Interactive Data Visualizations

Uncovering powerful use cases of the slice() function in the tidyverse, a batch of new features and fixes for column labeling in gt 0.9.0, and a fun journey with tidymodels and visualizations on just how much the Reverend Thomas Bayes may have earned from his own home (probably).

Episode Links

• This week's curator: Jon Carroll - @carroll_jono (Twitter) & @jonocarroll@fosstodon.org (Mastodon)
• Row relational operations with slice()
• Merging columns together and fixing up column labels in {gt} 0.9.0
• Bayes Lived Here (Probably)
• Entire issue available at rweekly.org/2023-W25

Supplement Resources

• Argument-type data masking: https://rlang.r-lib.org/reference/args_data_masking.html
• {usedthese} Summarize package and function usage https://www.quantumjitter.com/blog/usedthese/
• Easy and secure database access with a custom R6 package https://reds-code-collection.netlify.app/posts/r_db_connector/
• Building Reproducible Analytical Pipelines with R now available in print! https://www.amazon.com/dp/B0C87H6MGF/
• My computer can read! https://blog.devgenius.io/my-computer-can-read-98bc339e1f66
• New maintainer of {echarts4r}
• {carlesswhisper} Automatic speech recognition in R with whisper.cpp https://github.com/coolbutuseless/carelesswhisper

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