BLACK LIVES MATTER
Join us and donate
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
RStudio for the Enterprise
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 Server Pro
RStudio Connect
RStudio Package Manager
rstudio::conf 2018 Keynotes and Panels
To the Tidyverse and Beyond
March 5, 2018
To the Tidyverse and Beyond: Challenges for the Future in Data Science
A Fellow of the American Statistical Association, and Ordinary Member of the R Foundation. My research is in data visualisation, exploratory data analysis, multivariate methods, data mining and statistical computing. I have developed methods for visualising high-dimensional data using tours, projection pursuit, manual controls for tours, pipelines for interactive graphics, a grammar of graphics for biological data, and visualizing boundaries in high-d classifiers.