R for Data Science: Essential Tools for Working with Data and Statistics

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English | 2019 | ISBN: N/A | ASIN: B07ZC5GBVZ | 66 pages | Rar (PDF, AZW3) | 1.53 MbR for Data Science
by Max Beerbohm & Moaml Mohmmed
Essential Tools for Working with Data and Statistics
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. Just as a chemist learns how to clean test tubes and stock a lab, you'll learn how to clean data and draw Descriptions-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. 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.

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