The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.
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Ten unique ways to create your own Web APIs in R, and how you can import local and remote data files in CSV and (yes) Excel formats with a selection of innovative R packages. Episode Links This week's curator: Jon Calder (@jonmcalder (https://twitter.com/jonmcalder)) (Twitter) Hello world examples with 10 different R web API frameworks…
Ten unique ways to create your own Web APIs in R, and how you can import local and remote data files…
07 April 2023 | 00:28:37
A new perspective on the value of base R functions, enhancing the capabilities of gpttools with vector databases, and three ways you can add alt text to your R-based visualizations. Episode Links This week's curator: Ryo Nakagawara - @RbyRyo (https://twitter.com/R_by_Ryo) (Twitter) & @[email protected] (https://mstdn.social/@R_by_Ryo)…
A new perspective on the value of base R functions, enhancing the capabilities of gpttools with…
29 March 2023 | 00:34:31
The future of running R in your web browser is here with webR 0.1, a demonstration of integrating Quarto and webR with immense potential in the space of reproducible analysis, and two fundamental techniques from the world of software development tailored to non-programmers. Episode Links This week's curator: Sam Parmar - @parmsam_…
The future of running R in your web browser is here with webR 0.1, a demonstration of integrating…
15 March 2023 | 00:36:45
A episode full of discovery in this week's edition of R-Weekly Highlights! How you can parse your own R code with parse and getParseData, a closer look at the search capabilities in R-Universe, and a look back at the key milestones in the history of the R language. Episode Links This week's curators: Kellly Bodwin - @KellyBodwin…
A episode full of discovery in this week's edition of R-Weekly Highlights! How you can parse your…
11 March 2023 | 00:34:43
How to easily create interactive versions of your favorite ggplots with ggiraph, bringing AutoML to R with forester, and a head-to-head comparison of R and Excel for common data wrangling and summaries. Episode Links This week's curator: Colin Fay - [@ColinFay]](https://twitter.com/ColinFay) (Twitter) Creating interactive visualizations with…
How to easily create interactive versions of your favorite ggplots with ggiraph, bringing AutoML to…
01 March 2023 | 00:36:11
The current state and future of {rtweet}, bringing the best of testing and CI/CD in a statistical package, and navigating through a Shiny maze (literally). Episode Links This week's curator: Eric Nantz - @theRcast (https://twitter.com/theRcast) (Twitter) & @[email protected] (https://podcastindex.social/@rpodcast) (Mastodon) rtweet…
The current state and future of {rtweet}, bringing the best of testing and CI/CD in a statistical…
22 February 2023 | 00:37:50
A glimpse into the day-to-day of maintaining an R package, exploring gender effects in art history data with the power of resampling, and a huge win for accessible SVG plots with R-Markdown. Episode Links This week's curator: Jon Carroll - @carroll_jono (https://twitter.com/carroll_jono) (Twitter) & @[email protected]…
A glimpse into the day-to-day of maintaining an R package, exploring gender effects in art history…
15 February 2023 | 00:38:29
Just how far back can we turn back time with an R installation, many enhancements to joining data sets in dplyr 1.1.0, and a retrospective on the 2022 thirty-day map challenge. Episode Links This week's curator: Tony Elhabr - @TonyElHabr (https://twitter.com/TonyElHabr) (Twitter) & @[email protected]…
Just how far back can we turn back time with an R installation, many enhancements to joining data…
08 February 2023 | 00:34:57
How you can make R package testing a little easier with switches, how the combination of group processing and compute resources can level up geospatial data processing, and a few quick wins to improve the responsiveness of your Shiny apps that got your podcast hosts to think hard about previous design choices! Episode Links This week's curator: Jon…
How you can make R package testing a little easier with switches, how the combination of group…
01 February 2023 | 00:37:27
A large helping of football data for your analytics with the englishfootball package, building a Shiny application with both R and python, and a first look at upcoming conferences this year. Episode Links This week's curator: Ryo Nakagawara - @RbyRyo (https://twitter.com/R_by_Ryo)) (Twitter) & @[email protected] (https://mstdn.social/@R_by_Ryo)…
A large helping of football data for your analytics with the englishfootball package, building a…
25 January 2023 | 00:31:12