RStudio

RStudio

Customer Verified
Top Rated
About TrustRadius Scoring
Score 8.8 out of 100
Top Rated
RStudio

Overview

Recent Reviews

RStudio for Business Analysis

9 out of 10
July 18, 2022
We use RStudio as an analysis tool to perform complex data analysis problems and scenarios. We build different statistical models to …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 12 features
  • Visualization (23)
    8.8
    88%
  • Connect to Multiple Data Sources (22)
    8.4
    84%
  • Extend Existing Data Sources (23)
    8.3
    83%
  • Automatic Data Format Detection (22)
    7.5
    75%

Reviewer Pros & Cons

View all pros & cons

Video Reviews

1 video

User Review: RStudio Proves To Be A Reliable Statistical Tool W/ Support Avenues In Place If Needed
User Review: RStudio Proves To Be A Reliable Statistical Tool W/ Support Avenues In Place If Needed
02:53

Pricing

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N/A
Unavailable

What is RStudio?

RStudio is a modular data science platform, combining open source and commercial products. The vendor states their open source offerings, such as the RStudio IDE, Shiny, rmarkdown and the many packages in the tidyverse, are used by millions of data scientists around the world to enhance…

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://rstudio.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Product Demos

Video Reviews

1 video

J.J. Allaire | Open Source Software for Data Science | RStudio (2020)
J.J. Allaire | Open Source Software for Data Science | RStudio (2020)
41:00

Features Scorecard

Platform Connectivity

8.1
81%

Data Exploration

8.7
87%

Data Preparation

8.5
85%

Platform Data Modeling

8.4
84%

Model Deployment

8.1
81%

Product Details

What is RStudio?

RStudio is a modular data science platform, combining open source and commercial products.

The vendor states their open source offerings, such as the RStudio IDE, Shiny, rmarkdown and the many packages in the tidyverse, are used by millions of data scientists around the world to enhance the production and consumption of knowledge by everyone, regardless of economic means.

Their commercial software products, including RStudio Workbench, RStudio Connect, and RStudio Package Manager, are available as a bundle in RStudio Team. These products aim to give organizations the confidence to adopt R, Python and other open-source data science software at scale. This enables data science teams using R and Python to deliver interactive reports and applications to decision makers, leverage large amounts of data, integrate with existing enterprise systems, platforms, and processes, and be compliant with security practices and standards.

The platform is complemented by online services, including RStudio Cloud and shinyapps.io, to make it easier to do, teach and learn data science, and share data science insights with others, over the web.

Together, RStudio’s open-source software and commercial software form a virtuous cycle: The adoption of open-source data science software at scale in organizations creates demand for RStudio’s commercial software; and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone.

RStudio Features

Platform Connectivity Features

  • Supported: Connect to Multiple Data Sources
  • Supported: Extend Existing Data Sources
  • Supported: Automatic Data Format Detection

Data Exploration Features

  • Supported: Visualization
  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Interactive Data Cleaning and Enrichment
  • Supported: Data Transformations

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Additional Features

  • Supported: Share Data Science insights in the form of Shiny applications, R Markdown reports, Plumber APIs, dashboards, Jupyter Notebooks, interactive Python content, and more.

RStudio Screenshots

Screenshot of RStudio runs on most desktops or on a server and accessed over the webScreenshot of RStudio supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of RStudio supports interactive graphics with Shiny and ggvisScreenshot of Shiny combines the computational power of R with the interactivity of the modern webScreenshot of Remote Interactive Sessions: Start R and Python processes from RStudio Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Use Jupyter: Author and edit your Python code with Jupyter using the same RStudio Workbench infrastructure.Screenshot of RStudio Connect makes it easy to deploy Interactive Python Applications (including Dash, Bokeh and Streamlit), in the same place you share your Shiny apps.

RStudio Videos

Open Source Software for Data Science - CEO J.J. Allaire provides an overview of RStudio's mission, and why we've become a Public Benefits Corporation.

Watch Overview of RStudio Connect

RStudio Integrations

RStudio Competitors

RStudio Technical Details

Deployment TypesOn-premise, SaaS
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

Anaconda, Dataiku DSS, and Cloudera Data Science Workbench are common alternatives for RStudio.

Reviewers rate Visualization highest, with a score of 8.8.

The most common users of RStudio are from Enterprises (1,001+ employees) and the Research industry.

Comparisons

View all alternatives

Reviews

(1-18 of 18)
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Score 10 out of 10
Vetted Review
Verified User
Review Source
1
Only our marketing analyst uses RStudio. It is primarily used for statistical forecasting but has also been used for:
  • Data visualization
  • Data animation
  • Geographical visualization
  • Market Basket Analysis
  • Non-Linear Correlation
  • Data Cleaning / Organization
  • CDI/BDI Analysis

Ultimately, RStudio is a fantastic tool for any sized company to make their standard analysis tool.
Score 8 out of 10
Vetted Review
Verified User
Review Source
300
A mixture of our users use R-Studio. Analysts use it to prototype ideas, while more business focused people use it to demo upcoming features to their users. It's used as means to get analytical tools in the hands of those who need that insight, without the need of a full-blown dev team in the mix.
Score 9 out of 10
Vetted Review
Verified User
Review Source
10
We are a varied group of individuals coming from different backgrounds. Some are data scientists, some are Ph.D. doctors, some are programmers like me. All of us work on business problems, which present a lot of data which does not have immediate meaning to the business. We try to run predictions based on that data.
Heramb Gadgil | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
500
RStudio is leveraged by almost all the major functions within the organization. The usage ranges from occasional to critical. Although there hasn't been well established production workflows in many departments, RStudio acts as a go-to tool for data cleaning, analysis and reporting. With the expansion of RStudio connect' support for hosting various contents, it is anticipated to affect the usage positively!
B. Mark Ewing | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
20
Mostly professionals in our Data Science department including Statisticians, Machine Learning Practitioners, and Operations Research professionals. There are individuals with the necessary programming skills to take advantage of it in our Marketing and Market Research groups, as well as Chemists/Chemical Engineers who use it in our chemical Technology area.
Score 10 out of 10
Vetted Review
Verified User
Review Source
7
Write R scripts for machine learning and data visualization . Data visualization is used for control charting and monitor production yield. It is also used to follow up on debugging other manufacturing issues by using data visualization. Machine learning is used to create statistical models for the products that are used to convert raw data to a format understood by the relevant clients.
Jeff Keller | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
100
The heavy users of RStudio products in our organization are primarily Data Scientists, Product Analysts, and Business Intelligence Analysts. However, each of these groups have stakeholders located in just about every part of the business, and RStudio Connect is the platform we use to share our work with these audiences, resulting in a very wide range of backgrounds that ultimately interact with Connect.
Maike Holthuijzen | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
50
All of the employees I work with use Rstudio for research. They use Rstudio for data analysis, plotting results, doing spatial analyses, and utilizing novel techniques to process their data. Rstudio is well suited for interdisciplinary collaborations--my colleagues work in a variety of fields, from climate science, statistics, and computer science to hydrology and geology.
Score 10 out of 10
Vetted Review
Verified User
Review Source
100
RStudio is the major IDE for R, and R is used for statistical and bioinformatics analysis across multiple groups. R is the leading and often only tool for many different types of analysis.