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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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…
The magic of automated Shiny app deployment and data aggregation using GitHub actions, 6…
12 October 2022 | 00:37:07
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…
Design principles for data analysis, unraveling pipeline analyses with {Unravel}, and visualizing…
05 October 2022 | 00:36:49
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 collection of highlights to give your future developer self a helping hand: Deploying a…
28 September 2022 | 00:33:29
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 few major benefits of adopting variable labels for R data frames, wrapping a plumber API into a…
21 September 2022 | 00:30:45
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…
A collection of highlights powered by mathematics, statistics, and a little bit of R magic: Mapping…
14 September 2022 | 00:26:41
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. Episode Links This week's curator: Miles McBain (@MilesMcBain (https://twitter.com/MilesMcBain)) Australian Signals Directorate 50c Coin Decryption…
Using base R to decrypt an Australian coin's hidden messages, the Palmer Penguins data set achieves…
08 September 2022 | 00:29:55
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. Episode Links This week's curator: Batool Almarzouq (@batool664) (https://twitter.com/batool664) Exploring Types of Subway Fares with Hierarchical Forecasting…
Using hierarchical forecasting to explore subway fare recovery, and how you can learn more about…
31 August 2022 | 00:25:17
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. Episode Links This week's curator: Sam Parmar (@parsam_ (https://twitter.com/parmsam_)) Talk recordings and workshop materials from rstudio::conf(2022)…
The rstudio::conf(2022) presentation recordings are now available for viewing, and we learn about…
24 August 2022 | 00:35:26
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. Episode Links This week's curator: Ryo Nakagawara (@RbyRyo (https://twitter.com/R_by_Ryo)) Using across() to create multiple columns…
Avoid repeating yourself by using dplyr's across function, going inside the process of creating a…
17 August 2022 | 00:35:06
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. Episode Links This week's curator: Batool Almarzouq (@batool664) (https://twitter.com/batool664) useR2022 recordings are now on the conference YouTube channel…
A wealth of R content from the UseR! 2022 conference is now available, focusing on accessibility in…
10 August 2022 | 00:24:51