In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This third post focuses on features that save you time and trouble.
Many tools used routinely by software developers can also be useful to data scientists.
The RStudio IDE includes a visual markdown editor that displays changes in real-time and provides support for technical writing. This post walks through several features of visual editing mode.
Welcome to the RStudio Community Monthly Events Roundup! In this post, we update you on upcoming events happening at RStudio and share how to find the great presentations and talks from last month.
RStudio's Enterprise Information Management team is pleased to launch Sitewide Search on rstudio.com. Sitewide Search will now return content from 20 RStudio subdomains.
To start off rstudio::conf(2022), we have an absolutely amazing line-up of workshops. Check out the list in this blog post, get inspired, and register!
A team from Green Shield Canada explores Apache Parquet as an option for data processing. With the parquet file format, the team was able to process data 1,500 times faster than with CSVs.
We are excited to announce the RStudio Community Table Gallery, showcasing amazing contributions from the R Community.
In this post, we explore possible challenges to putting Shiny in production and how to overcome them.
We are excited to introduce rstudio.com/champion, a website with resources and best practices for making the case for data science at your organization.
The March 2022 release of RStudio Connect has updated the minimum version of Python supported to 3.5 and removed support for Python 2. This post outlines things Connect Administrators and Publishers...
Alan Carlson from Snap Finance describes how his team uses a reproducible workflow to build robust, modular dashboards that streamline onboarding and minimize technical debt.
Join us online April 27-29th for three days of all things Shiny.