R for Data Science, 2nd Edition

About the Authors

Hadley Wickham is Chief Scientist at Posit, PBC, winner of the 2019 COPSS award, and a member of the R Foundation. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (like the tidyverse, which includes ggplot2, dplyr, and tidyr) and principled software development (e.g. roxygen2, testthat, and pkgdown). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website.

Mine Çetinkaya-Rundel is Professor of the Practice at the Department of Statistical Science at Duke University and Developer Educator at Posit, PBC. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open source education. Mine has authored introductory statistics textbooks as part of the OpenIntro project, she is the creator and maintainer of Data Science in a Box, and she teaches the popular Statistics with R specialization on Coursera. Mine is the winner of the 2021 Hogg Award for Excellence in Teaching Introductory Statistics, the 2018 Harvard Pickard Award, and the 2016 ASA Waller Education Award. Learn more on her website.

Garrett Grolemund is a statistician, teacher, and the director of learning at Posit Academy. He is the author of Hands-On Programming with R (O’Reilly) and an early contributor to the tidyverse.