Recordings of RStudio Webinar Series on Essential Tools for Data Science with R

[This article was first published on blog.RDataMining.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

by Yanchang Zhao, RDataMining.com

RStudio recently ran a series of live webinars on Essential Tools for Data Science with R, but it is inconvenient for people from other time zones to attend. Fortunately, the recordings have been made available online, which you can watch if you have attended the live webinars. Below is a list of recordings.

1. The Grammar and Graphics of Data Science
– dplyr: a grammar of data manipulation – Hadley Wickham
– ggvis: Interactive graphics in R – Winston Chang
– URL: http://pages.rstudio.net/Webinar-Series-Recording-Essential-Tools-for-R.html

2. Reproducible Reporting
– The Next Generation of R Markdown – Jeff Allen
– Knitr Ninja – Yihui Xie
– Packrat – A Dependency Management System for R – J.J. Allaire & Kevin Ushey
– URL: http://pages.rstudio.net/Webinar-Reproducible-Reporting.html

3. Interactive Reporting
– Embedding Shiny Apps in R Markdown documents – Garrett Grolemund
– Shiny: R made interactive – Joe Cheng
– URL: http://pages.rstudio.net/Interactive-Reporting.html


To leave a comment for the author, please follow the link and comment on their blog: blog.RDataMining.com.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)