02237cam a22003617i 4500 GSU 20260721112049.0 240423s2023 cc ab e b 001 0 eng 9781492097402 (paperback) UKMGB eng rda GSU GSU QA276.45.R3 WIC Wickham, Hadley, author. R for data science : Import, tidy, transform, visualize, and model data / Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund. Second edition. Beijing ; Sebastopol, CA : O'Reilly, ©2023. xxiii, 548 pages : illustrations (some colour), map (some colour) ; 24 cm text rdacontent txt unmediated rdamedia n volume rdacarrier nc Includes bibliographical references (pages 534-535) and index. 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. Data mining Computer programs. Information visualization Computer programs. R Computer program language Big data. Exploration de données (Informatique) Logiciels. Visualisation de l'information Logiciels. Big data fast Information visualization fast Çetinkaya-Rundel, Mine, author. Grolemund, Garrett, author. lcc RB QA276.45.Rr3 QA WIC 0 2859 2859 0 0 lcc 0 0 GC GSULE GSULE RES 2026-07-20 Purchase 05858 0 QA276.45.R3 WIC 50000007035 2026-07-20 09:49:00 1 2026-07-20 RB