Enhancing Data science capabilities with RStudio
January 26, 2022
I have extensively used RStudio, when I was seconded to the Department of Health in Victoria to assist with the surge in COVID19 Delta …
RStudio
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RStudio
Overview
Recent Reviews
Reviewer Sentiment
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Positive ()
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Awards
Popular Features
View all 12 featuresVisualization (11)
8.8
88%
Interactive Data Analysis (11)
8.4
84%
Extend Existing Data Sources (11)
8.0
80%
Automatic Data Format Detection (11)
7.4
74%
Reviewer Pros & Cons
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Suryaprakash Mishra
Senior Data Analyst, Research, Insights and Evaluation, Road Safety Division
Transport Accident Commission (TAC) (Insurance, 1001-5000 employees)
Chris Beeley
Senior Analyst
Nottinghamshire Healthcare NHS Foundation Trust (Hospital & Health Care, 10,001+ employees)Video Reviews
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Pricing
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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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Features Scorecard
Platform Connectivity
7.9
79%
Data Exploration
8.6
86%
Data Preparation
8.2
82%
Platform Data Modeling
8.2
82%
Model Deployment
8.3
83%
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
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.
RStudio Integrations
- Jupyter Notebook
- Streamlit
- Kubernetes
- Apache Spark
- Databricks Lakehouse Platform (Unified Analytics Platform)
- bokeh
- Slurm
- Dash applications
- VS Code
- SAML Marketplaces
RStudio Competitors
- Anaconda
- Dataiku DSS
- Cloudera Data Science Workbench
- IBM SPSS
- Domino Data Labs
- SAS
- STATA
RStudio Technical Details
| Deployment Types | On-premise, SaaS |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | No |
Comparisons
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Frequently Asked Questions
What are RStudio's top competitors?
What is RStudio's best feature?
Reviewers rate Visualization highest, with a score of 8.8.
Who uses RStudio?
The most common users of RStudio are from Enterprises (1,001+ employees) and the Hospital & Health Care industry.
Reviews and Ratings
(216)
Reviews
(1-25 of 108)- Popular Filters
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January 26, 2022
Enhancing Data science capabilities with RStudio
I have extensively used RStudio, when I was seconded to the Department of Health in Victoria to assist with the surge in COVID19 Delta response. In my day to day, I used R mostly for Descriptive and Graphical analysis and data management. Most of the analysis is used to provide insights to reduce road trauma and promote road safety.
- Dara Management.
- Descriptive and Statistical analysis.
- Data science and machine learning.
- Text analysis.
- Can not run concurrent sessions and sometimes freezes but can be due to local or virtual machine capacity.
- RStudio has come a long way, and expect enhancements will continue to improve performance and ease to use.
My team uses RStudio products, but we distribute reports and dashboards to 100+ users. The business problem it addresses is how to get the data science work that we're doing in R and Python (for example, text mining), as well as more day-to-day reporting based on some of the data structures that we have written in R/SQL.
- The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
- The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
- Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
- I'm only a data scientist, I'm not DevOps, but I did find RStudio Connect hard to install. I have also tried and failed to get proxy authentication with Apache working, I'm sure it's me being thick but I have never gotten there with it.
- Another thing I don't like is some of the abstractions in RStudio Connect. There isn't really a file system at all, and data refresh is done with a scheduled RMarkdown report, which is okay but it's a bit round the houses and it's very different from the code on my local machine.
- I don't love the pricing model of RStudio Connect where you pay just as much for publishers as you do for consumers. I wish we could have, say, 5 publishers and more consumers on our current licence.
January 25, 2022
RStudio - a cheap and effective statistics program
RStudio is currently used to analyze data. It makes using R much easier for us researchers and allows us to test our hypotheses. It is used by researchers across the department to do quantitative analyses using data we have collected. We use it for social network analyses that include friendship nominations.
- Quantitative analyses.
- Descriptive analyses.
- Graphs.
- The point and click functions of the program could be better.
- Updating the program could be an easier process.
- Other programs make it easier to read in data.
January 21, 2022
RStudio - Perfect for the Low Budget Statistician
We use RStudio for statistics-related endeavors on our research projects. We use it frequently for accessing and analyzing our data in descriptive and predictive type analyses. It helps us address issues such as underperformance in schools and other education settings, or even issues of inequity and exclusion of vulnerable populations.
- Descriptive analyses.
- Predictive analyses.
- Accessing data.
- Replicating syntax.
- The interface.
- A more beginner-friendly walkthrough.
- Have also had issues with program versions impacting syntax execution.
January 20, 2022
Hooray RStudio.
Our internal analytical platform is deeply connected with a series of RStudio products, from RStudio Connect to RSPM. These products provide not only great development environment, but they also create the excellent user experience for customers. Importantly, the RStudio support team is very responsive. The team takes customer's request very seriously, and if there is no immediate solution, they usually follow up with a long-term plan. Shout out to our main contact Colin.
- Update.
- Support.
- Create an active community.
- RStudio Connect interface could be more flashy.
- More curated education sessions.
January 19, 2022
RStudio: Best Bang for Your Buck
I use RStudio to produce descriptive and predictive analytics surrounding various business products. My analytics help higher-ups understand the efficiencies and problem areas in business processes and make evidence-based decisions. The data visualizations I generate in [RStudio] are especially instrumental in presenting accurate, easily consumable metrics for lay audiences.
- Visualizing data
- Integration with other programming languages and tools
- Variety of inbuilt functions and packages
- Dashboard publishing
- Processing is slow when working with large datasets
- Description of bugs could be clearer
- More tutorials on capabilities
January 19, 2022
Great software; I rely on it almost every day
It's used by my small team. We do econometric analysis using R.
- Notebooks, where you can run chunks and see the output
- I can view data frames
- Integration with git
- Queries to external data warehouses (e.g., using RJDBC::dbGetQuery) are blocking things to the extent that Rstudio freezes and I need to force quit it to stop the query
- I want to have tools to manage the variables by size
- Sometimes I want to clean the memory and it would be nice if RStudio suggested an easy way to rank variables by size in the environment
January 18, 2022
RStudio is wonderful!
I am the primary statistician on my team and I use RStudio almost exclusively to perform the product efficacy analyses. I use RStudio to automate many of our data cleanup processes and also run dynamic analyses to answer our research questions.
- Automate processes
- Statistical Analyses
- Portable Code
- A very good IDE for R programming
- Can be intimidating to non-programmers
- I wish I could copy data to the clipboard easier
- I never have a big enough screen to see all of the data I want to see
January 13, 2022
A must have tool for data analysts
I am working with an Australian supermarket giant and helping them analyze data for their e-commerce business. RStudio helps me in getting the raw data from various sources and cleaning them up so that they can be aggregated and visualized in a BI tool for insight generation to improve the business performance.
- It's super quick.
- It has inbuilt functions for most of the analytics procedures.
- It has great visualizations.
- It has lots of libraries and sometimes it shows errors while importing them.
- Its UI can be improved.
- It takes a lot of time exporting files.
January 13, 2022
RStudio Is the Best R GUI for any price, let alone free!
I currently use RStudio to create and develop 3D maps for ground-mounted solar arrays to better account for the terrain where they will be placed. It is also used for statistical analysis within the company to determine where the best placement for the solar arrays will be within the topography.
- Troubleshooting of Code.
- Color Coding of different elements of code.
- Adding new packages.
- Infinitely customizable.
- Better Resource Analysis.
- Better progress bars.
- Debugging could use a little improvement.
December 23, 2021
RStudio is Very Useful but Needs Improvements
I use RStudio to manipulate, munge, analyze data for ad hoc projects, and create visualizations. [My main use for the platform] is for projects that are too big or slow for Excel.
- good visual design environment
- Allows you to quickly see your data set in tabular form
- Manages package list/download well
- When rendering a plot, there are several issues bringing it more smoothly to copy/paste it to a slide deck, etc. It is very frustrating that the aspect ratio, etc. visual quality is not consistent from when you originally render to when copy/paste or downloading as a file to later be put in a slide.
- My resolution changes between laptop mode and desktop mode (plugging into external monitors). In desktop mode I literally have to shut RStudio down and restart/reload/rerun to continue my project. HOW DO I fix this? Is there a way. I've seen a toggle that says it can bounce back and forth depending on device type but it doesn't seem to work!
- When a program hangs, there is a red stop sign ( I think) in console corner to end the process. This requires, however that I need to complete restart RStudio and restart/reload/rerun etc. Can't it just start but keep all packages, datasets, variables in memory?
December 05, 2021
An almost one-stop shop for your analytics needs
RStudio is the only way in which I interact with R. We're primarily a SQL-driven team but sometimes you need a tool that's a little more powerful; enter R. When I need this added firepower, RStudio is where I always go. There aren't any second thoughts. I'm primarily a fan of the UI shortcuts that make interacting with my local directory and managing my packages a breeze.
- Keyboard shortcuts
- Integrating multiple programming languages
- Providing creators with the resources to develop gold-standard packages
- I have never been able to successfully replace my SQL editor with RStudio since the SQL drivers are so hard to set up. I would eventually love to be able to use RStudio as a one-stop-shop.
September 11, 2021
RStudio for R!
RStudio is the go to tool in our team for data analytics workflow, from pulling and wrangling data, modeling and visualization.
Through the products - e.g., web app, API, reports - that were built using the publishing platform (RStudio Connect), every users in the company were able to access analytics applications designed specifically for individual use cases.
Through the products - e.g., web app, API, reports - that were built using the publishing platform (RStudio Connect), every users in the company were able to access analytics applications designed specifically for individual use cases.
- Integration with databases.
- User community.
- Integration with other software/languages.
- Lacks stability.
- Memory management.
September 10, 2021
RStudio: Difficult Learning Curve with Matching Pay Off
RStudio is being implemented by our analytics department to help solve complex client problems by utilizing the data and statistical packages available through RStudio. The ability to perform far more accurate multi-linear regression models and time-series forecasts has helped our clients not only see where they are going in terms of sales but also what affects their sales.
- Data Organization
- Multi-Linear Regression
- Data Visualization
- Time-Series Forecasting
- As a scripting language, it is not a pick up and go platform. You need to spend the time to learning the program.
- Platform versions and Package versions often do not align.
- Would love to see standard templates that would generate a basic code for statistical models. This could save time and help newer users learn how to operate the program.
September 10, 2021
The R-Studio suite is a well thought out solution to development, control and publishing r apps and services.
RStudio is a great way to allow teams to develop r-shiny apps without needing to go and install lots of software on each developer's individual machine. It helps people to get ideas together much faster that you can traditionally. And by pairing it with other products in the suite you can then deploy them to non-devs too for quick feedback.
- Centralised admin
- Ability to manage allocations of CPU / RAM per user
- SSO
- Set up can be complex
- Automated updates via the admin screens
September 06, 2021
RStudio for quick prediction prototyping
Very few of us are getting into predictions using Machine Learning and Data Science. We use Rstudio to program our algorithms. There are only a handful of people in the whole organization who use Rstudio right now. We use it in pockets, and do the proof of concepts with Machine Learning using R.
- We use it for a quick visual representation of data
- We do exploratory data analysis to understand data
- We do predictions using RStudio
- When we have to run 100 iterations using more than 10000 records, RStudio gets stuck or takes a very very long time to respond
- Generating a pdf report from an RMD file is very difficult from RStudio.
- Generating a pdf report in RStudio cloud is straightforward and inbuilt.
September 05, 2021
RStudio - Dire wolf of "Game of Data Science"
Most of the DNA teams within our organization are using RStudio right from data pulls to visualization & reporting. UI/UX for shiny applications has been phenomenal and has been utilized in broader initiatives that enabled huge dollar savings. 'RMarkdown' has eased report generation to a great extent and 'odbc' drivers have made connecting to databases an easy task.
- Abundant development on statistical and data science libraries.
- Interaction with other programming languages and BI tools.
- Customized application building and reporting framework through shiny and markdown.
- Simple IDE with competent and robust functionalities.
- Strong and active community.
- Highly approachable core members and teams @Rstudio.
- Integration with Google Cloud Platform.
- Flexibility of choosing a remote R-interpreter (as is present in IntelliJ/PyCharm).
- Memory issues and slowdowns when it comes to working with large datasets.
- Orchestration of production workflows with Airflow.
- Production pipelines for RStudio Connect content.
September 04, 2021
RStudio is the Swiss Army knife of R Solutions
RStudio provides a number of products and services, from their best-in-class IDE for R to their collaboration and publication platform, RStudio Connect. Our Data Scientists leverage RStudio Server on a daily basis to do analysis, develop dashboards and Shiny applications. They deploy these to either our Shiny Server Pro environment or, more commonly, our RStudio Connect environment. Others at the company use the RStudio IDE to do analysis on their local machines. R, as a statistical programming language, is mostly commonly used by our data scientists who support the whole organization, often in a paired environment. By using RStudio Server we can ensure consistent environments for deployment of assets and ease of managing security. There are pockets of other scientists, marketing and logistics analysts who use R to amplify their work and they use the desktop IDE because they have no need for collaboration.
- Excellent integration of both R and Python IDEs in one.
- Simple publishing of dashboards and applications from RStudio IDE to RStudio Connect.
- Integration of package management with projects to support collaboration.
- Excellent contributors to the R Open Source community, really invested in its health.
- Support integration with Enterprise AD environments for security.
- Python integration is newer and still can be rough, especially with when using virtual environments.
- RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
- Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
September 04, 2021
RStudio helps data scientists get things done faster
RStudio is being used in the Underwriting and Analytics Department. We publish our analytics artifacts through RStudio Connect, then users from other department can consume with ease.
We help our colleagues to better understand the financial health of the company through profit and loss evaluation, risk underwriting and portfolio review. RStudio helps us bridge the gap between Data and Solution, we tell story through data visualization and reproducible analytical documents that are easy to grasp by our colleagues.
We help our colleagues to better understand the financial health of the company through profit and loss evaluation, risk underwriting and portfolio review. RStudio helps us bridge the gap between Data and Solution, we tell story through data visualization and reproducible analytical documents that are easy to grasp by our colleagues.
- Great selection of libraries to do statistics, machine learning, data visualization, interactive dashboards
- RStudio Connect makes sharing your work with your colleague a breeze using one-click publishing.
- The ability to connect R with other languages like Julia and Python all within the same working session helps generate more creative ways to solve problems. We can use Julia in R to speed up intensive calculation, or we can use Python Tensorflow or Pytorch in R to do deep learning.
- R has a great community on social media and stackoverflow so it's very easy to learn from the other users.
- The learning curve may be a little steep for new R users
- There are multiple ways to solve a problem. For example, there are mlr3 and tidymodels to build predictive models, and there are tidyverse and data.table to perform data cleaning. It could be confusing and overwhelming for new users to decide which libraries to learn and use.
September 03, 2021
RStudio is the only IDE you need for R
I used RStudio to do the overwhelming majority of my data analysis, which includes general direct mail-style campaign selection, statistical analysis, predictive modeling, and reporting. It gives me a single environment to work in where I can do SQL-style work, statistical work and reporting--in essence, if it involves data, I'll do it in RStudio.
- RStudio ticks most of the IDE boxes for R users: autocompletion, an overview of your current environment, an interface for files in the working directory and a way to interact with plots in the GUI.
- Combined with the tidyverse set of packages, you can do most of your database work, plus work faster and smarter, in both the interactive environment and in scripts.
- RStudio's snippets functionality allows you to quickly access the bits of boilerplate code you find yourself typing over and over and to paste them in with just a few keypresses.
- Though they're currently developing ways to extend RStudio, ie. add-ons, the environment and hooks needed are still fairly limited.
- Package management is available, but could be simplified even further.
- Git integration is great and provides are really useful way to view diffs. However, I still run into a few bugs here and there that force me to drop back to the terminal.
We use RStudio for development within bioinformatics group. The product (R Shiny) from our group is used across the whole organization, it is used for data integration, both clinical and pre-clinical biomarker data and other types of data integration.
- Best IDE for R programming.
- Good ecosystem for R Markdown and R Shiny.
- RStudio Connect is very useful for publishing and user authentication.
- It could have its own consulting team to support company to build R related products instead of partnering.
- It could also offer tailored paid training for small and large companies.
September 02, 2021
Well Suited for Data Visualization and Modeling
We use RStudio as an GUI interface for R, which we use to visualize and model data. For modeling data, we use lots of machine learning techniques like Regression, and R provides an excellent package to implement various flavors of regression like lasso and ridge regression. For data visualization we also use Shiny apps.
- Debugging
- Front-end interface to R
- Provide shortcuts to some R commands
- RStudio connect experience was not very smooth
- Web service configuration for the RStudio server is not very intuitive
- Some Visual DataGrid GUI would be beneficial
September 01, 2021
RStudio is amazing, the future of Data Science
I use RStudio for research & teaching purposes (I'm a professor in a business school). I know 5-6 of my colleagues also use it. All of my courses are entirely focused on coding and I use RStudio all the time in class. Additionally, all of my research revolves around uses of R code, thus I spend 5-6h/day working with RStudio.
- Amazing user interface
- Great package development
- Incredible simple to use
- Joyful team & community
- NLP, a package (wrapper) for major models (ex: GPT3), just as for Keras-Tensorflow
September 01, 2021
RStudio provides stable and trusted open source tools in a market frequently flooded by trendy and soon-to-be abandoned software
We use RStudio Connect as a publishing platform for R and Python documents, apps, and APIs. It provides us with a professional, clean looking interface to share our work with internal clients and stakeholders. Our usage began within a relatively small team, but the popularity of RStudio Connect and its features saw that usage grow to a broader group of users that spans multiple departments and business units.
- Excellent Documentation
- Well-designed Features
- RStudio Connect could really benefit from containerized environments to enable isolated, reproducible content.
- RStudio Connect's pricing model is a little frustrating at times. Infrequent consumers of content cost the same as heavy users who publish content regularly. This limits our ability to share the work of our data scientists at a reasonable cost. We would much rather pay more for each "publisher" seat and have much cheaper or free "viewer" seats. This would also likely lead to a greater investment in RStudio Connect on our part, as we would be able to expose the platform to more team members and key funding decision makers.
August 31, 2021
RStudio--Standing on the shoulders of giants
We model economic indicators for cities in Mexico. Traffic congestion and other demographics.
- Coordinate data wrangling with visualizations
- Interactions with other software
- Project management
- Function name autofill
- Speed
- More and clearer detail on dashboard bugs