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R for data science / Hadley Wickham, Mine Netinkaya-Rundel and Garrett Grolemund

By: Contributor(s): Material type: TextTextPublication details: [Place of Publication not identified] : O'Reilly Media. 2023ISBN:
  • 9781492097402
Subject(s): Online resources:
Contents:
Introduction -- Part I. Whole Game -- Part II. Visualize -- Part III. Transform -- Part IV. Import -- Part V. Program -- Part VI. Communicate -- Index -- About the Authors -- Colophon.
Summary: 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.
Item type: Electronic Resources
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Electronic Resources Electronic Resources National University - Manila LRC - Graduate Studies Electronic Books Doctor in Business Administration c.1 Available EBK000000026

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Includes index.

Introduction -- Part I. Whole Game -- Part II. Visualize -- Part III. Transform -- Part IV. Import -- Part V. Program -- Part VI. Communicate -- Index -- About the Authors -- Colophon.

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.

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