RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: Jan 24, 2018
Time: 1:00PM EST

Webinar Description:

Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr. It enables tidyverse users to write reusable functions and pipeline wrappers. In this webinar you will learn what are quoting functions, what challenges they pose for programming, and how tidy eval solves these with a flexible toolset (including quasiquotation with the noisy but very tidy !! operator).


Logistics:

Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.

Tidy Eval - Lionel Henry Webinar Registration:



Webinar Recordings:

We try to record every webinar we host and post all materials on our website.
http://www.rstudio.com/resources/webinars/

Slides & Code:

We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.
https://github.com/rstudio/webinars


Live on Jan 24th at 1:00PM EST
There will be approximately 45 minutes of presentation followed by 15 Minutes of Q&A.