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R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund.

By: Wickham, Hadley [author.]Contributor(s): Çetinkaya-Rundel, Mine [author.] | Grolemund, Garrett [author.]Material type: Text

TextEdition: Second editionDescription: xxiii, 548 pages : illustrations (some color), map (some color) ; 24 cmISBN: 9781492097402; 1492097403Subject(s): Data mining -- Computer programs | Information visualization -- Computer programs | R (Computer program language) | Big data | Exploration de données (Informatique) -- Logiciels | Visualisation de l'information -- Logiciels | R (Langage de programmation) | Données volumineuses | Big data | R (Computer program language) | Electronic data processing | Information visualization | StatisticsDDC classification: 004 | 006.3/12 LOC classification: QA276.45.R3 | W53 2023Summary: 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.

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Item type	Current library	Call number	Status	Date due	Barcode
Books	GIFT University, Library GIFT University, Library Computer Science	004 WIC-R (Browse shelf(Opens below))	Available		25038

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.

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