R for Data Science
Import, Tidy, Transform, Visualize, and Model Data
(Sprache: Englisch)
"Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make...
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"Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way"--
Autoren-Porträt von Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
Hadley Wickham is Chief Scientist at RStudio and a member of the R Foundation. He builds tools (both computational and cognitive) that make data science easier, faster, and more fun. His work includes packages for data science (ggplot2, dplyr, tidyr), data ingest (readr, readxl, haven), and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and frequent speaker promoting the use of R for data science. Learn more on his homepage, http: //hadley.nz.
Bibliographische Angaben
- Autoren: Hadley Wickham , Mine Çetinkaya-Rundel , Garrett Grolemund
- 2023, 2nd Edition, XXIII, 548 Seiten, Masse: 17,8 x 23,3 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1492097403
- ISBN-13: 9781492097402
Sprache:
Englisch
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