【数据科学，real PDF】 R for Data Science : Import, Tidy, Transform, Vis (2017)

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

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

By Hadley Wickham, Garrett Grolemund



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

目录截图：







原版 PDF：

本帖隐藏的内容

https://bbs.pinggu.org/thread-5036778-1-1.html

  如果你喜欢我分享的书籍，请关注我：
https://bbs.pinggu.org/z_guanzhu.php?action=add&fuid=5975757

订阅我的文库：

【金融 + 经济 + 商学 + 国际政治】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3257

【数学 + 统计 + 计算机编程】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3258

【历史 + 心理学 + 社会自然科学】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3259

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏22 回帖

关键词：Data Science transform Science import Trans collection experience knowledge designed previous

入门书籍还是可以不错的

入门书籍还是可以不错的

看看

看看！

R语言的“圣经”

Thanks for sharing

看过三遍了