R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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R 数据科学：导入、整理、转换、可视化和建模数据
DOI：
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发表时间：
2014
期刊：
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通讯作者：
Garrett Grolemund
中科院分区：
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作者：
H. Wickham;Garrett Grolemund
学习如何使用R将原始数据转化为洞察力，知识和理解。本书向您介绍R、RStudio和tidyverse，tidyverse是一系列R软件包，旨在使数据科学快速、流畅和有趣。适合没有编程经验的读者，R for Data Science旨在让您尽快进行数据科学。作者Hadley威克姆和加勒特Grolemund指导您完成导入、整理、探索和建模数据以及传达结果的步骤。您将对数据科学周期有一个完整的、全面的了解，沿着您需要管理细节的基本工具。书中的每一节都配有练习，帮助你练习沿着学到的东西。您将学习如何：Wrangle将数据集转换为便于分析的形式编程学习强大的R工具，用于更清晰、更轻松地解决数据问题探索检查数据，生成假设，并快速测试它们模型提供低维摘要，可捕获数据中的真实“信号”交流学习R Markdown，用于集成散文、代码和结果
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. Youll 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 youve learned along the way. Youll learn how to: Wrangletransform your datasets into a form convenient for analysisProgramlearn powerful R tools for solving data problems with greater clarity and easeExploreexamine your data, generate hypotheses, and quickly test themModelprovide a low-dimensional summary that captures true "signals" in your datasetCommunicatelearn R Markdown for integrating prose, code, and results