RStudio is becoming Posit in October. Learn more at posit.co
RStudio is becoming Posit in October.
Learn more at posit.co
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Academy
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
Additional Talks Community
Why RStudio Focuses on Code-Based Data Science
October 17, 2020
From the Outlook Podcast:
R and Python are popular data science languages. The prominence of R and Python is attributable to their ease of use and the enhanced productivity they deliver. But, which is better at helping you get the most out of your analytic investments?
Rather than focusing on language wars, leading firms are realizing a competitive edge by encouraging interoperability. Focusing on R or Python risks missing the advantages that having both can bring to individual data scientists and data science teams.
Outlook Series' Michael Lippis interviews Lou Bajuk to gain RStudio's perspective on R & Python.