The RStudio team recently rolled out new capabilities in RStudio, shiny, ggvis, dplyr, knitr, R Markdown, and packrat. The “Essential Tools for Data Science with R” free webinar series is the perfect place to learn more about the power of these R packages from the authors themselves.
Click to learn more and register for one or more webinar sessions. You must register for each separately. If you miss a live webinar or want to review them, recorded versions will be available to registrants within 30 days.
The Grammar and Graphics of Data Science Live! Wednesday, July 30 at 11am Eastern Time US Click to register
dplyr: a grammar of data manipulation – Hadley Wickham
ggvis: Interactive graphics in R - Winston Chang
Reproducible Reporting Live! Wednesday, August 13 at 11am Eastern Time US Click to register
The Next Generation of R Markdown – Jeff Allen
Knitr Ninja – Yihui Xie
Packrat – A Dependency Management System for R – J.J. Allaire & Kevin Ushey
Interactive Reporting Live! Wednesday, September 3 at 11am Eastern Time US Click to register
Embedding Shiny Apps in R Markdown documents – Garrett Grolemund
Shiny: R made interactive – Joe Cheng
Welcome to the rstudio::glimpse() newsletter. Get a glimpse into our tools and how to use them.
Python users can now use Shiny to create interactive data-driven web applications by writing Python code.