O'Reilly | R For Data Science: Import, Tidy, Transform, Visualize, And Model Data (2017 EN)

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    Kanka Well-Known Member Loyal User

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    Author: Hadley Wickham, Garrett Grolemund
    Full Title: R For Data Science: Import, Tidy, Transform, Visualize, And Model Data
    Publisher: O'Reilly Media; 1 edition (January 5, 2017)
    Year: 2017
    ISBN-13: 9781491910399 (978-1-491-91039-9), 9781491910337 (978-1-4919-1033-7)
    ISBN-10: 1491910399, 149191033X
    Pages: 522
    Language: English
    Genre: Programming: Software > Mathematical & Statistical
    File type: AZW3, EPUB, MOBI, PDF (True)
    Quality: 10/10
    Price: $39.99


    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:
    Wrangle—transform your datasets into a form convenient for analysis
    Program—learn powerful R tools for solving data problems with greater clarity and ease
    Explore—examine your data, generate hypotheses, and quickly test them
    Model—provide a low-dimensional summary that captures true "signals" in your dataset
    Communicate—learn R Markdown for integrating prose, code, and results

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    Last edited by a moderator: Aug 16, 2020