In this talk, I'll introduce you to some of the new features in dplyr 0.7.0. To warm up, we'll start of with some of the smaller stuff: new verbs (like pull() and the scoped variants), new data sets, and improved support for case_when(). Next, we'll talk about dplyr and databases and the new dbplyr package. Finally, we'll finish off with the mind-bending tidy evaluation and show how you can write your own
functions that work in the same way as dplyr functions.
To get the most of this talk, you should be familiar with the basics of dplyr (e.g. the six key verbs)
Bio:
Hadley is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2,
testthat, devtools). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz .
