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, visualise it and model it.In this book, you will find a practicum of skills for data science.
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You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time.
You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.
Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides.
These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. (R for Data Science was formerly called Data Science with R in Hands-On Programming with R) This work is licensed under the Creative Commons Attribution-Non Commercial-No Derivs 3.0 United States License.
The definition of the model is independent of the underlying database — you can choose one of several as part of your project settings.