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: August 8th, 2018
Time: 1:00PM EDT

Webinar Description:

This webinar breaks down one of the most esoteric concepts in the tidyverse: list columns. The Tidyverse is based on tidy data, which is based on tables. Tables simplify data analysis by making data easy to use, just like Arabic numerals simplify math by making numbers easy to use. But you may not know that tables can make other things easy to use as well. You can use tables to store models, lists, and other tables in a list column. The table will store the products of your data analysis in an organized way, and you can manipulate the table with your familiar tidyverse tools. In this webinar, we will look at how you can make list columns and use them in your own work.


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.

How to Work with List Columns Webinar Registration:


Presenter:

Garrett Grolemund Garrett Grolemund, Data Scientist and Master Instructor - Garrett is the Editor and Chief of the Shiny Development Center (shiny.rstudio.com), the official source of documentation, articles, and how-to examples for Shiny. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, R for Data Science, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization. GitHub



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 August 8th, at 1:00PM EDT
There will be approximately 45 minutes of presentation followed by 15 Minutes of Q&A.