Import, tidy, transform, visualize, and model data Wickham, Hadley creator author. Çetinkaya-Rundel, Mine author. Grolemund, Garrett author. text bibliography cc 2023 Second edition. monographic eng

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xxiii, 548 pages : illustrations (some colour), map (some colour) ; 24 cm 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. adult Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund. Includes bibliographical references (pages 534-535) and index. 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 Information visualization QA276.45.R3 WIC 9781492097402 (paperback) UKMGB 240423 20260721112049.0 eng