The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
rstudio::global 2021 talks
RStudio's 2021 virtual conference featured 50+ speakers from around the world.
RStudio's 2021 virtual conference featured 50+ speakers from around the world, live Q&As, and social times for the 12,000 attendees to connect. We are so thankful to all that attended and added their insights via text, video, and Twitter chats.
The live Q&As have been added to the talk pages below!
Maintaining the house the tidyverse built
Your public garden
Reporting on and visualising the pandemic
Cognitive speed: How the Tidyverse helped the British Red Cross respond quickly to COVID-19
Humanitarian Data Science with R
rKenyaCensus Package
The Opioid Files: Turning big pharmacy data over to the public
Bringing the Tidyverse to Python with Siuba
R & Python: Going Steady
The dynamic duo: SQL & R
Using pins with Python and JavaScript
Aesthetically automated figure production
Always look on the bright side of plots
Art Lessons: One Year as RStudio’s Artist-in-Residence
Starting an R Book Club: Cooking Up Friendships in Isolation
Using R to Up Your Experimentation Game
What's new in tidymodels?
Fairness and Data Science: Failures, Factors, and Futures
Categorical Embeddings: New Ways to Simplify Complex Data
How I became a Data Composer – examples of simulated datasets that bring value to a data-driven company
tidymodels/stacks, Or, In Preparation for Pesto: A Grammar for Stacked Ensemble Modeling
With more learning occurring virtually or in hybrid mode, hands-on ways to remotely teach DS are invaluable.
From Zero to Hero: Best practices for setting up Rstudio Team in the Cloud
Not The App We Deserve. The App We Need: Putting a GMP Shiny App into Production
Custom theming in Shiny & R Markdown with bslib & thematic
How Content Makes the Data Go 'Round
How reproducible am I? A retrospective on a year of commercial data science projects in R
How we made the switch: a case study on automating a complex report.
Lifelong Learning with R Weekly
oRganization: How to make internal R packages part of your team
Monitoring health and impact of open-source projects
You're Already Ready: Zen and the Art of R Package Development
Make a package - Make some friends
The Power of Great Datasets
Towards an integrated {verse}: lessons learned developing a library of validated packages
Using formr to create R-powered surveys with individualized feedback
Bigger Data With Ease Using Apache Arrow
Introducing xrprof: A New Way to Profile R
plumber + future: Async Web APIs
xaringan Playground: Using xaringan to learn web development
Designing Randomized Studies using Shiny
Easy larger-than-RAM data manipulation with {disk.frame}
Making Shiny apps faster with caching
parsermd - parsing R Markdown for fun and profit
Feedback at scale
How to do things with words: learning to program in R with a "communicative approach"
Making the jump from learning to applying: R training and documentation for different levels of expertise
On programming, teaching, and building interactive tutorials with learnr
A New Paradigm for Multifigure Coordinate-Based Plotting in R
Accessible Data Science Beyond Visual Models: Non-Visual Interactions with R and RStudio Packages
Trial and Error in Data Viz at the ACLU
Your R is My R too: Reflections on creating the Mi-R community
An easy and friendly way to build your multilingual website
Making .pot-ery with R: Translations in R Packages
Racial Equity Dashboard: Unpacking Systemic Inequity
R in Janssen Drug Discovery Statistics
R in Pharma: Intro to Shiny
R Package Validation Framework
R/Pharma
Risk Assessment Tools: R Validation Hub Initiatives
RStudio Investments in Pharma
Appsilon's Guide to Working With Open Source Shiny
Best Practices for Developing Shiny Apps
Empowering Data Scientists to Build Spectacular Shiny Apps
Scaling Shiny to Thousands of Users
Styling Shiny with CSS & SASS and Speeding Up Shiny Apps
Theming Shiny and RMarkdown with {thematic} & {bslib}
