R for data science: import, tidy, transform, visualize, and model data

Medientyp: Buch

Titel: R for data science : import, tidy, transform, visualize, and model data

Beteiligte: Wickham, Hadley [VerfasserIn]; Çetinkaya-Rundel, Mine [VerfasserIn]; Grolemund, Garrett [VerfasserIn]

Erschienen: Beijing; Boston; Farnham; Sebastopol; Tokyo: O'Reilly, 2023

Ausgabe: 2nd edition

Umfang: xxiii, 548 Seiten; Illustrationen, Diagramme

Sprache: Englisch

ISBN: 9781492097402

RVK-Notation: MR 2200 : Datenverarbeitung und Kybernetik für Soziologen
CM 4400 : Datenanalyse
ST 601 : Einzelne Systeme (alphabetisch)
ST 250 : Einzelne Programmiersprachen (A-Z)

Schlagwörter: R
R > Data Science

Entstehung:

Anmerkungen: Includes bibliographical references and index

Beschreibung: 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.

R for data science : import, tidy, transform, visualize, and model data - [2nd edition]

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