RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, Shiny Server, and 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: September 13th
Time: 11:00 a.m. EDT


This introduction to the tidyverse will cover several best practices for analyzing data with R. You’ll learn how the ggplot2, dplyr, and purrr packages (along with the rest of the tidyverse) work together to create an improved way to use R, and you’ll master several “bedrock” functions along the way. This would be a good webinar to recommend to your R curious colleagues.


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.

tidyverse, visualisation, and manipulation basics Webinar Registration:


Garrett Grolemund Garrett Grolemund, Data Scientist and Master Instructor - Garrett is the Editor and Chief of the Shiny Development Center (, 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.

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.

Live on September 13th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.