R for Data Science

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Hadley Wickham
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O'Reilly Media 2016-12-25 Paperback 9781491910399

具体描述

Hadley Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in Statistics at Rice University. He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualization. His research focuses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualization to better understand data and models.

Garrett Grolemund is a statistician, teacher and R developer who currently works for RStudio. He sees data analysis as a largely untapped fountain of value for both industry and science. Garrett received his Ph.D at Rice University in Hadley Wickham's lab, where his research traced the origins of data analysis as a cognitive process and identified how attentional and epistemological concerns guide every data analysis.

Garrett is passionate about helping people avoid the frustration and unnecessary learning he went through while mastering data analysis. Even before he finished his dissertation, he started teaching corporate training in R and data analysis for Revolutions Analytics. He's taught at Google, eBay, Axciom and many other companies, and is currently developing a training curriculum for RStudio that will make useful know-how even more accessible.

Outside of teaching, Garrett spends time doing clinical trials research, legal research, and financial analysis. He also develops R software, he's co-authored the lubridate R package--which provides methods to parse, manipulate, and do arithmetic with date-times--and wrote the ggsubplot package, which extends the ggplot2 package.

http://r4ds.had.co.nz/

用户评价

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##学R是在2012年在Jenny Bryan的stats 540的课上, Jenny也是本书几个章节的作者之一。 那时,课上画图用的是 lattice,这个包只包括了一些常见的画图函数,有些图没有,经常还得去找其他的包,理解不同函数的输入参数。同一个事情,不同包的控制参数名称完全不一样,经常找不到或...  

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##tidyverse太美啦!

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非常好。之前一直因为R混乱的语法而弃用很多次,但是pandas和jupyter notebook又不够灵活,勉强用python做了一段时间的数据分析。这次偶然接触了tidyverse套件,瞬间觉得R非常清晰好用。另外这本的理念很好,完全摒弃了其他R工具书从头到尾讲统计的陋习。

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##没太明白tidy data 有啥用...好像和一般的用法也没啥区别

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##有人说这本书就是Hadley安利他的Tidyverse各种包,书名不如就叫《Tidyverse for Data Science》,没办法,谁让Tidyverse就是优雅好用呢。举个例子,我看完以后就记得一堆动词性函数(Verbs),比如用filter()筛选符合条件的行(observations),用select()筛选需要的列(variab...  

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##基本上是hadley在安利他的各种包tidyr, dplyr, purrr, ggplot2,hadley的东西有更高的抽象,用起来还是比较舒服的。只不过base包的东西已经很熟,表示老狗学新把戏的意愿不是很高。本书在手机上看完,囧rz..

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