Latest: Open Source
Tracy Teal shows us how to create and deploy a Shiny Wordle app with a custom word list.
What's new and improved in the latest RStudio IDE release 2022.02.0, code-named Prairie Trillium.
In this series, we show you lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This second post focuses on cleaning up your R Markdown code.
The pins package publishes R objects, such as data sets and predictive models, on a virtual corkboard so that you can share and reuse them easily and safely.
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This first post focuses on working with R Markdown in the RStudio IDE.
This post introduces and walks through shinytableau, a package that allows you to create dashboard extensions that embed Shiny apps in Tableau. Users can take advantage of R's powerful visualization...
pins 1.0.0 is now available on CRAN! The pins package publishes data, models, and other R objects, making it easy to share them across projects and with your colleagues. Pins can be versioned,...
Taylor Rodgers, Senior Data Scientist and project lead at PKGlobal, walks through creating a powerful Shiny application with shinyMatrix and plotly for engineers, manufacturers, and plant workers.
Many RStudio cheatsheets have been updated or reworked based on recent package updates, and we've updated the cheatsheet contribution process as well. You'll also see some small changes to the...
A new release of pins is available on CRAN today. This release adds support to time travel across dataset versions, which improves collaboration and protects your code from breaking when remote...
The latest version of the **bookdown** package is now on CRAN. A highlight of the version 0.23 release is a new HTML book output format based on Bootstrap 4 called `bs4_book()`. This release also...
The RStudio 1.4 "Juliet Rose" update includes many improvements for users of the open source desktop IDE, including support for R 4.1 and Apple Silicon, Python improvements, memory usage stats, a...
Happy spring! In this post, we'll share the latest news from the R Markdown family of packages so that you know all you need to know to take advantage of the newest features. New releases include the...
Model monitoring is a key component of ModelOps, and the R ecosystem offers flexible, code-first solutions that meet the model monitoring needs of data science practitioners.
In case you missed the details of our recent release or would just like a quick tour, here's a set of videos highlighting our recent work on RStudio 1.4.
