What's new in dplyr 0.7.0

June 22, 2017 Hadley Wickham

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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.

About the Author

Hadley Wickham

Hadley is Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University. He is interested in building better tools for data science. His work includes R packages for data analysis (ggplot2, plyr, reshape2); packages that make R less frustrating (lubridate for dates, stringr for strings, httr for accessing web APIs); and that make it easier to do good software development in R (roxygen2, testthat, devtools, lineprof, staticdocs). He is also a writer, educator, and frequent contributor to conferences promoting more accessible and more effective data analysis.

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