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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##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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##大概因为有点pandas和sklearn的基础,一刷非常顺畅~暑假跟着R for finance类的教材初学R真是不堪回首=。= #选对入门书太重要!

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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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这本书我读的中文版,时间是在今年年初,用了半个月时间把书中所有的代码和作业题都写了一遍,做完以后的确是很爽的。学完这本书以后我就去学Java了,有机会应该会把《Advanced R》也读一下,不过只这本书应付一个经济学硕士或者博士的毕业和科研已经够用了。换句话说这本书也...  

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##大牛的作品,果然不一般,清楚简明易懂。

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