RStudio provides the premiere open source and enterprise-ready professional software for data scientists moving to R from less flexible, proprietary, and expensive analytic platforms. Shiny, 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: July 27th
Time: 11:00 AM EST
Description: R Markdown Notebooks are a powerful new construct in RStudio combining the strengths of the R Markdown ecosystem with the interactivity and immediacy of a notebook. Learn how to make your own notebooks, how to use them to iterate on ideas rapidly, and tips and techniques for managing, sharing, and publishing your results.
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.
Our webinar host, GoToWebinar, Now Supports Linux but ONLY for VIDEO. You must dial in by Telephone to the conference for access to the audio. 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.
Notebooks with R Markdown Webinar Registration:
Jonathan McPherson, Software Engineer - Jonathan is a software engineer at RStudio working on the IDE. In the past, he’s written Web applications at a nuclear site in the desert, exploratory information visualization systems at UC Davis, and features for flagship Office products and modern web applications at Microsoft.