01681nam a22002657a 4500 20260707141641.0 260707s2023 |||||||| |||| 00| 0 eng d 9781492097402 PK-LaUMT 006.312 WIC-R Wickham, Hadley 13375 R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund 2nd ed. Beijing : O'Reilly, 2023 xxiii, 550 p. Index present 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 Eng R (Computer program language) Data mining-Computer programs 13376 Information visualization-Computer programs 13377 Çetinkaya-Rundel, Mine 13378 Grolemund, Garrett 13379 BK 141314 141314 0 0 0 0 01 01 2026-07-07 0 006.312 WIC-R 153274 2026-07-07 14:16:51 2026-07-07 BK