The technology to amass data has outstripped our abilities to make effective use of it.
When the founders of RStudio focused on this problem a few years ago, they noticed people trying to understand data all over the world were turning to R, a free open source statistical language.
Inspired by the innovations of R users in science, education, and industry, RStudio today develops free and open tools for the R community. These include the RStudio development environment as well as the shiny, ggvis, and dplyr packages (among many others). With their increasing popularity, RStudio added enterprise-ready professional products to make it easier for teams to scale RStudio deployments and share work.
Our goal is to empower users to be productive with R and then to tackle the toughest and most interesting problems with R. Let us know what you are doing and how we can help!
Jeff’s background is in Computer Science and bioinformatics; it was there that he first encountered R in 2007. After spending many years as an RStudio user and evangelist, he joined the team in 2013. GitHub
Bill has wide range of cross–functional experience building and leading organizations through accelerated growth, expansion, product development and market differentiation. He has been in and led sales & marketing teams his entire career from early stage start-ups such as RStudio, VisibleGains, Veracode, ByAllAccounts and Spotfire to larger companies like TIBCO, Stratus Technologies, and Anixter. GitHub
Winston is a software engineer at RStudio. He is a developer for the ggplot2 and devtools packages, and is the author of R Graphics Cookbook
, published by O’Reilly Media. GitHub
Joe is a software engineer who has worked at a number of startups including Allaire, Upromise, and Onfolio. He also worked on Windows Live Writer
Garrett excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and Data Science with R, two upcoming books from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization. GitHub
Fereshteh is a software engineer that has worked at a number of startups. GitHub
Tareef is a software startup executive and a member of teams that built up ATG’s eCommerce offering and Brightcove’s
Online Video Platform, helping both companies grow from early startups to publicly traded companies. GitHub
Andy is a software engineer that has worked at a number of startups. GitHub
Pete has been in sales since his undergrad days at both Suffolk and Temple. Whether it was recruiting, selling web ad-space or handling high tech accounts he has prided himself on being an asset to his customers. The fascinating projects that encompass the analytics market both at Spotfire and Jaspersoft is what lead Pete to join RStudio. During his career Pete has enjoyed working at variety of companies from his own start up to larger companies like TIBCO. Outside of providing customers with excellent service Pete enjoys surfing and spending time with his family. GitHub
Jonathan is a software engineer on the RStudio IDE. In the past, he’s written Web applications at a nuclear site in the desert, exploratory information visualization systems at UC Davis, and features for flagship Office products and modern web applications at Microsoft. GitHub
Roger is a software executive with a broad range of experience as general manager and vice president of sales, marketing, and engineering from early stage start-ups such as RStudio, Veracode, XVT and Requisite to Ping Identity, Spotfire, TIBCO, Rational, and IBM. GitHub
Ian is a support engineer that has worked in information technology and support for many years, including at Wellesley College and Wesleyan University.GitHub
involved the study of gene-gene and gene-Rx interaction effects, and statistical assessment of these epistatic effects in yeast growth curves. He is an active R user and the author of several R packages, such as Kmisc
and EasySVGAnnotation GitHub
Hadley is Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University. He is interested in building better tools for data science. His work includes R packages for data analysis (ggplot2
); packages that make R less frustrating (lubridate for dates
, stringr for strings
, httr for accessing web APIs
); and that make it easier to do good software development in R (roxygen2
). He is also a writer, educator, and frequent contributor to conferences promoting more accessible and more effective data analysis. GitHub
got his PhD from the Department of Statistics, Iowa State University. He is interested in interactive statistical graphics, statistical computing, and web applications. He is an active R user and the author of several R packages, such as animation
, and knitr
, among which the animation package won the 2009 John M. Chambers Statistical Software Award (ASA). He is also the author of the book “Dynamic Documents with R and knitr”
. In 2006 he founded the “Capital of Statistics”
, which has grown into a large online community on statistics in China. He initiated the first Chinese R conference in 2008 and has been organizing R conferences in China since then. During his PhD training at the Iowa State University, he won the Vince Sposito Statistical Computing Award (2011) and the Snedecor Award (2012) in the Department of Statistics. GitHub
The creators of R
provided a flexible and powerful foundation for statistical computing; then made it free and open so that it could be improved collaboratively and its benefits could be shared by the widest possible audience.
It’s better for everyone if the tools used for research and science are free and open. There are many benefits to free software in science: improved reproducibility, wider sharing of knowledge and techniques, and elimination of cost barriers to create a more level playing field, to name just a few.
R users are doing some of the most innovative and important work in science, education, and industry. It’s a daily inspiration and challenge to keep up with the community and all it is accomplishing.
RStudio has a mission to provide the most widely used open source and enterprise-ready professional software for the R statistical computing environment. These tools will further the cause of expanding the use of R and the field of data science.
We offer open source and enterprise ready tools for the R computing environment. Our flagship product is an Integrated Development Environment (IDE) which makes it easy for analysts, scientists, data scientists and quants to perform their analyses. We also offer a platform that allows you to take those analyses and share them with your team/organization by creating interactive web applications.
- Founded in 2008 with the aim of making a distinctive and durable contribution to software for data analysis.
- Commercial products introduced in late 2013 and early 2014 to allow adoption of our offerings in enterprises
Series A in 2013: General Catalyst, Baseline.
- We are a distributed team with headquarters in Boston’s Innovation District, and a second office in Seattle. The rest of our employees are all over the country including Texas, California, Minnesota, and Iowa.
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RStudio and Shiny are affiliated projects of the Foundation for Open Access Statistics