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

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

作者: Hadley Wickham Garrett Grolemund
出版社: O'Reilly
出版在: 2017-01-17
ISBN-13: 9781491910399
ISBN-10: 1491910399
裝訂格式: Paperback
總頁數: 522 頁





內容描述


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




相關書籍

Matlab 6.X 使用入門

作者 余建政 俞克維 林義隆 白能勝

2017-01-17

Supervised Learning with Python: Concepts and Practical Implementation Using Python

作者 Verdhan Vaibhav

2017-01-17

Learn Quantum Computing with Python and Q#: A Hands-On Approach

作者 Kaiser Sarah C. Granade Christopher

2017-01-17