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R for Data Science: Visualize, Model, Transform, Tidy, and Import Data

  • Category: Computer
  • Author: Hadley Wickham (Author), Garrett Grolemund (Author)
  • Pages: 518 pages
  • File type: PDF

Read and download free eBook intituled R for Data Science: Visualize, Model, Transform, Tidy, and Import Data in format PDF – 518 pages created by Hadley Wickham (Author), Garrett Grolemund (Author).

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it.

What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the versatile R programming language for data analysis.

Whenever you measure the same thing twice, you get two results—as long as you measure precisely enough. This phenomenon creates uncertainty and opportunity. Author Garrett Grolemund, Master Instructor at RStudio, shows you how data science can help you work with the uncertainty and capture the opportunities. You’ll learn about:

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R for Data Science: Visualize, Model, Transform, Tidy, and Import Data

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