About the show

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.

R Weekly Highlights on social media


  • Issue 2022-W38 Highlights

    September 21st, 2022  |  30 mins 45 secs

    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.

  • Issue 2022-W37 Highlights

    September 14th, 2022  |  26 mins 40 secs

    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.

  • Issue 2022-W36 Highlights

    September 8th, 2022  |  29 mins 55 secs

    Using base R to decrypt an Australian coin's hidden messages, the Palmer Penguins data set achieves another milestone, and visualizing multiple statistcal properties with faded raincloud plots.

  • Issue 2022-W35 Highlights

    August 31st, 2022  |  25 mins 16 secs

    Using hierarchical forecasting to explore subway fare recovery, and how you can learn more about {gtsummary} to create your next publication-quality table within R.

  • Issue 2022-W34 Highlights

    August 24th, 2022  |  35 mins 26 secs

    The rstudio::conf(2022) presentation recordings are now available for viewing, and we learn about the unique development journey of the new CRAN release of the countdown package.

  • Issue 2022-W33 Highlights

    August 17th, 2022  |  35 mins 6 secs

    Avoid repeating yourself by using dplyr's across function, going inside the process of creating a custom theme in ggplot2, and a few keyboard-centric tricks to manage your RStudio pane viewing.

  • Issue 2022-W32 Highlights

    August 10th, 2022  |  24 mins 51 secs

    A wealth of R content from the UseR! 2022 conference is now available, focusing on accessibility in the diffify tool, and a great recap of rstudio::conf(2022) from TidyX.

  • Issue 2022-W31 Highlights

    August 4th, 2022  |  30 mins 23 secs

    RStudio re-brands as Posit, the shinytest2 package continues to make waves in the Shiny community, and more Quarto tips to boost your workflow.

  • Issue 2022-W28 Highlights

    July 15th, 2022  |  31 mins 19 secs

    Another great use case for Docker containers with interactive R-Markdown reports, a recap of RStudio's presence at the Appsilon Shiny conference, and building an interactive point-and-click game with Shiny.

  • Issue 2022-W27 Highlights

    July 13th, 2022  |  37 mins 1 sec

    Advice on building Docker containers for Shiny applications, an R-centric tutorial on fundamentals with shell, and tips on evaluating GitHub activity for contributors.

  • Issue 2022-W26 Highlights

    June 29th, 2022  |  32 mins 26 secs

    Flexing new table-creation capabilities in the latest flextable update, how less is more with Shiny application processing, and the RainbowR community shines once again.

  • Issue 2022-W25 Highlights

    June 22nd, 2022  |  25 mins 46 secs

    Previewing the upcoming rstudio::conf, why you should (or shouldn't) build an API client package, and monitoring Shiny application usage with Hotjar.

  • Issue 2022-W24 Highlights

    June 15th, 2022  |  22 mins 37 secs

    Many improvements to {gt} version 0.6, and creating flow charts effeciently with {ggplot2}.

  • Issue 2022-W23 Highlights

    June 8th, 2022  |  30 mins 9 secs

    Creating user interfaces in R with a vintage toolkit, and a candid take on learning R with the right perspectives in mind.

  • Issue 2022-W22 Highlights

    June 1st, 2022  |  21 mins 41 secs

    Annotated screencasts of David Robinson's Tidy Tuesday analyses, and the second edition of Deep Learning with R is on the way.

  • Issue 2022-W21 Highlights

    May 25th, 2022  |  35 mins 10 secs

    Amazing software development resources for data scientists, community-contributed R markdown tips & tricks to save you time, and combining GitHub gists and Carbon screenshots with gistillery.