In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.

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9.0/10 (Expert Score) ★★★★★
Product is rated as #22 in category Data Science and Machine Learning Platforms
Ease of use
8.3
Support
9.3
Ease of Setup
0.0

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The primary mission of RStudio is to build a sustainable open-source business that creates software for data science and statistical computing. You may have already heard of some of our work, such as the RStudio IDE, Rmarkdown, shiny, and many packages in the tidyverse.

Our open source projects are supported by our commercial products that help teams of R users work together effectively, share computing resources, and publish their results to decision makers within the organization. We also build hosted products to take away the pain of managing R and RStudio yourself, and allow anyone to use R and RStudio even without serious computing resources.

RStudio
RStudio

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Customer Reviews

RStudio Reviews

User in Higher Education

Advanced user of RStudio
★★★★★
RStudio is a great, versatile program!

What do you like best?

RStudio allows for data importation and analysis. It has a lot of features that allow for statistical tests to be run. I consider it easy to use as numerous tutorials teach someone how to use all of RStudio's functions. You can import data files using a URL or directly from files saved on your computer. Code and outputs can be directly saved as a pdf or in another format, which is great.

What do you dislike?

RStudio is somewhat challenging to learn since you have to understand the language and code. However, once you understand it, R is a great program and works very well for statistical analyses.

Recommendations to others considering the product:

I recommend following the tutorials RStudio provides users with. They are accommodating and easy to understand. In addition, they will help you learn to use R.

What problems are you solving with the product? What benefits have you realized?

RStudio allows for scientific and mathematical data analysis and is an extremely useful tool. In addition, RStudio allows for the quick creation of graphs and visualizations of data.

Review source: G2.com

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