About this episode
This episode highlights new advancements in Shiny, ggplot2 functions, and knitr's support for Typst.
If Shiny wasn't awesome enough, a new toolkit is bringing the awesome to new heights! Plus a handful of ggplot2 functions that can immediate impact common visualization operations, and knitr gains support for a much-hyped typesetting format for the static document crowd. Episode Links This week's curator: Eric Nantz: @rpodcast@podcastindex.social (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter) Announcing shiny.webawesome: a web UI package for R/Shiny Five ggplot2 functions I wish I’d known about earlier Preliminary Support for Typst in knitr Issue available at rweekly.org/2026-W19 Supplement Resources Add links discussed in the episode (in place of this sentence) {shiny.webawesome} documentation https://www.shiny-webawesome.org Web Awesome: The Web's Open Source Design System https://webawesome.com {lemon} Freshen up your ggplots https://github.com/stefanedwards/lemon ligt.js Miscellaneous lightweight tools and utilities in JavaScript https://github.com/yihui/lite.js/blob/main/js/pages.js R 4.6.0 binary transition https://github.com/eddelbuettel/R-4.6.0-binary-transition Exploring and Learning Quantum Computing Part 1…
People in this episode
Host: Eric Nantz
Topics covered
- Shiny
- ggplot2
- knitr
- data visualization
- R programming
- quantum computing
Keywords
- Shiny
- ggplot2
- knitr
- data visualization
- R programming
- quantum computing
- web UI package
Mentioned in this episode
Organizations: Shiny, ggplot2, knitr, Mastodon, BlueSky, X/Twitter
Products: shiny.webawesome, lemon, ligt.js, R 4.6.0
Books & works: Fully Reproducible Model Validation Reports Using Docker, R, Quarto, {renv} and {targets}
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