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.
Hadley Wickham
Chief Scientist at Posit, PBC
In addition to serving as Chief Scientist at Posit, Hadley is 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. You may be familiar with his packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools, pkgdown). Much of the material for this course is drawn from two of his existing books, Advanced R and R Packages, but the course also includes a lot of new material that will eventually become a book called “Tidy Tools”.
