R Weekly Highlights

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…

A collection of highlights to give your future developer self a helping hand: Deploying a Flexdashboard using GitHub Pages and Docker, an illustrated guide showcasing the perks of Git and GitHub for version control, and how the logger package integrates smoothly with plumber for an API package. Additional note: The recording of this episode was met…

A few major benefits of adopting variable labels for R data frames, wrapping a plumber API into a package with mariobox, and getting started with obtaining new data in R via APIs and web scraping. Episode Links This week's curator: Tony ElHabr (@TonyElHabr (https://twitter.com/TonyElHabr)) The case for variable labels in R…

A collection of highlights powered by mathematics, statistics, and a little bit of R magic: Mapping wind data with R, calculating the expected statistic in football, and how the vetiver package fits in an ML-Ops production flow using Docker and Plumber. Episode Links This week's curator: Jon Calder (@jonmcalder…