R Weekly Highlights

Our first episode of 2023 covers the brand-new gpttools package to called chatGPT directly in R, a wholistic look at MLOps with the latest tidymodels tooling, and a spotlight on the lesser-known quantile regression. Plus listener feedback and much more! Episode Links This week's curator: Kelly Bodwin (@KellyBodwin…

Data munging and visualization of your Twitter archive with R, a successful Shiny app submission to the FDA, and scoring Rock Paper Scissors. Episode Links This week's curator: Eric Nantz - @theRcast (https://twitter.com/theRcast) (Twitter) & @[email protected] (https://podcastindex.social/@rpodcast) (Mastodon) Read and Visualize your…

Big new features coming in {dplyr} 1.1.0, how you can make your own #rstats wrapped, and enhancing your Shiny apps with JavaScript (without knowing much JS). Plus your feedback and more! Episode Links This week's curator: Jon Carroll - @carroll_jono (https://twitter.com/carroll_jono) (Twitter) & @[email protected]…

A new approach to adding package tests with {doctest}, scraping data from dynamic web pages with {RSelenium}, and a simple checklist to power up your next bar chart. This week's curator: Tony Elhabr - @TonyElHabr (https://twitter.com/TonyElHabr) (Twitter) & @[email protected] (https://mastodon.skrimmage.com/@tonyelhabr) (Mastodon) {doctest}…

Reshaping your R function syntax with {codegrip}, ways you can apply DRY principles to R package development, and a new online book teaching you how to create beautiful tables in R with {gt} Episode Links This week's curator: Jon Calder (@jonmcalder (https://twitter.com/jonmcalder)) {codegrip} 0.0.0.9000 (https://github.com/lionel-/codegrip):…

A major achievement unlocked! In episode 100 of RWeekly Highlights: The new {rtoot} package for collecting and analyzing Mastodon data, using the {unheadr} package to fix broken and irregular column headers, a tour of the apply functions in base R, and creating posters of NBA rosters with R and ImageMagick. Plus a big announcement on a new way to…

Embracing the dual role of data scientist and software developer with state-of-the-art tooling, illustrating the fundamentals of Shiny (literally), and the TidyX crew put their data wrangling skills to the test. Episode Links This week's curator: Sam Parmar (@parmsam_ (https://twitter.com/parmsam_)) Are you Data Scientists or Software Developers?!…

The power of Quarto's interoperability shines again with integrating R and JavaScript maps, as well as the grammar of table generation in both R and Python. Plus boost the launching of your R session with the startup package. Episode Links This week's curator: Kelly Bodwin Let’s make maps with bertin.js in Quarto…

The magic of automated Shiny app deployment and data aggregation using GitHub actions, 6 productivity hacks for Quarto, and valuable tips for managing large codebases in R. Episode Links This week's curator: Colin Faye (@_colinFay (https://twitter.com/_colinfay)) Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions…

Design principles for data analysis, unraveling pipeline analyses with {Unravel}, and visualizing simulated environmental changes in western Canada with Shiny. Episode Links This week's curator: Eric Nantz Design Principles for Data Analysis (https://www.tandfonline.com/doi/full/10.1080/10618600.2022.2104290?journalCode=ucgs20) {Unravel} - A…