RStudio Can Simply Your Life
December 12, 2020

RStudio Can Simply Your Life

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

We use RStudio as an analytical platform for building models, testing them, and sharing the results with others. We also use it to build Shiny apps and are shared with other users. At the moment, it's primarily used by technical users who have a background in modeling. But we also use it to access, transform, and prepare data that will be used in modeling or reporting use cases.
  • RStudio does an excellent job providing a clean user interface for R or Shiny applications
  • RStudio integrates natively with version control software
  • Users can program with either R or Python
  • RStudio has a command line built in, eliminating the need for a separate program for a REPL
  • The integration with Packrat is confusing at first
  • If you don't create a project, it's easy to accidentally modify the default workspace
  • RStudio has allowed us to rapidly build and deploy functional Shiny applications that execute underlying code. In many cases, users don't realize they are running R under the hood.
  • Allowed us to integrate Python code and R code in a single application/visualization.
RStudio's user interface is easier to use than Jupyter Notebook (particularly for users that are new to programming). Many of our users have experience with RStudio Desktop, so switching to RStudio Server Pro was very easy. Deploying applications is also much easier thanks to the tight integration between RStudio Server Pro and RStudio Connect.
If you are going to build something in R or Python, RStudio is an excellent choice. Simple projects or small teams may be able to use the open source version, however larger teams are going to want to use the commercial edition. Sharing and deploying code is easier in the commercial product. Integration with Active Directory or other authentication mechanisms is also better.