Join us at rstudio::conf(2022) to sharpen your R skills. | July 25-28th in D.C.
July 25-28th in D.C.
7/25 - 7/28 in D.C.
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
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 Public Package Manager
RStudio Package Manager
Putting the Fun in Functional Data: A tidy pipeline to identify routes in NFL tracking data
January 30, 2020
Dani Chu is a second year masters student in statistics at Simon Fraser University. He is planning on graduating in December of 2019 and will be joining the Hockey Reserach & Development team with NHL Seattle in January. Recently, he completed an internship at the NBA department of Basketball Strategy & Analytics. At SFU, he’s the co-president of the SFU Sports Analytics Club with Lucas Wu and Matthew Reyers. Along with Lucas, Matt and James Thomson, he was the winner of the College Division of the 2019 NFL Big Data Bowl and the 2018 Sacramento Kings Case Competition. Dani has also interned as a statistician at Best Buy Canada and Fraser Health Authority.