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3 Ways to Expand Your Data Science Compute Resources
Data scientists frequently have computational needs that stretch far
Company, events, and community
Why Package & Environment Management is Critical for Serious Data Science
The renv package helps create reproducible project environments that
Company, events, and community
R & RStudio - The Interoperability Environment for Data Analytics
From design philosophies to current development priorities, R with RStudio
Company, events, and community
rstudio::global() talk deadline extension
We’ve received requests from a number of you to submit talks for rstudio::global() after...
Blog
How to Deliver Maximum Value Using R & Python
For data science teams to be successful, they need to embrace both R
Company, events, and community
Do, Share, Teach, and Learn Data Science with RStudio Cloud
RStudio is proud to announce the general availability of RStudio Cloud,
Blog
RStudio Adds New R Features in Qubole's Open Data Lake
Data science teams using Qubole now have the ability to use RStudio Server
Company, events, and community
3 Wild-Caught R and Python Applications
In this post I present three "wild-caught" examples solicited from the
Commercial enterprise offerings
4 Tips to Make Your Shiny Dashboard Faster
Yes, Shiny apps can be fast and scalable. But only if you build them