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R for Data Science - Import, Tidy, Transform, Visualize, and Model Data (2nd New edition) Loot Price: R1,332
Discovery Miles 13 320
You Save: R153 (10%)
R for Data Science - Import, Tidy, Transform, Visualize, and Model Data (2nd New edition): Hadley Wickham, Mine...

R for Data Science - Import, Tidy, Transform, Visualize, and Model Data (2nd New edition)

Hadley Wickham, Mine Cetinkaya-Rundel, Garrett Grolemund

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Was R1,485 Loot Price R1,332 Discovery Miles 13 320 | Repayment Terms: R125 pm x 12* You Save R153 (10%)

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Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as 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. Each section in this edition includes exercises to help you practice what you've learned along the way. Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to: Visualize-create plots for data exploration and communication of results Transform-discover types of variables and the tools you can use to work with them Import-get data into R and in a form convenient for analysis Program-learn R tools for solving data problems with greater clarity and ease Communicate-integrate prose, code, and results with Quarto

General

Imprint: O'Reilly Media
Country of origin: United States
Release date: June 2023
Authors: Hadley Wickham • Mine Cetinkaya-Rundel • Garrett Grolemund
Dimensions: 232 x 178mm (L x W)
Pages: 500
Edition: 2nd New edition
ISBN-13: 978-1-4920-9740-2
Categories: Books
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LSN: 1-4920-9740-3
Barcode: 9781492097402

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