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: June 21st
Time: 11:00 a.m. EDT

Description:

dplyr 0.7.0 is a major release including over 100 bug fixes and improvements. dplyr provides a “grammar” of data transformation, making it easy and elegant to solve the most common data manipulation challenges. dplyr supports multiple backends: as well as in-memory data frames, you can also use it with remote SQL databases. There are two big changes:

  • Improved tools for connecting to databases
  • Tidyeval, a new framework for programming with dplyr

In this webinar, you'll learn about both of these big new features, and along the way you'll see a bunch of smaller features, and learn about some other changes in the tidyverse.


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.

What's new in dplyr 0.7.0 (Previously 0.6.0) Webinar Registration:


Presenter:
Hadley WickhamHadley Wickham - Hadley is Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University. His work includes R packages for data analysis (ggplot2plyrreshape2); packages that make R less frustrating (lubridate for datesstringr for stringshttr for accessing web APIs); and that make it easier to do good software development in R (roxygen2testthat,devtoolslineprofstaticdocs). He is also a writer, educator, and frequent contributor to conferences promoting more accessible and more effective data analysis.


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 June 21st at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.