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

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.

Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.

You’ll learn how to:

Wrangleâ??transform your datasets into a form convenient for analysis Programâ??learn powerful R tools for solving data problems with greater clarity and ease Exploreâ??examine your data, generate hypotheses, and quickly test them Modelâ??provide a low-dimensional summary that captures true “signals” in your dataset Communicateâ??learn R Markdown for integrating prose, code, and results

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Publisher ‏ : ‎ O’Reilly Media
Publication date ‏ : ‎ January 31, 2017
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 518 pages
ISBN-10 ‏ : ‎ 1491910399
ISBN-13 ‏ : ‎ 978-1491910399
Item Weight ‏ : ‎ 1.76 pounds
Dimensions ‏ : ‎ 5.9 x 1.2 x 8.8 inches
Best Sellers Rank: #166,974 in Books (See Top 100 in Books) #17 in Mathematical & Statistical Software #53 in Data Processing #111 in Probability & Statistics (Books)
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