R for Data Science

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

具體描述

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/

用戶評價

評分

##輾轉於matlab/python+pandas/R後,終於發現瞭R配閤tidyverse配閤ggplot2配閤RStudio,纔是最契閤交互式代碼+圖像快速探索數據,形成數據分析思路的終極利器。

評分

##大概因為有點pandas和sklearn的基礎,一刷非常順暢~暑假跟著R for finance類的教材初學R真是不堪迴首=。= #選對入門書太重要!

評分

##入門書。Tidyverse 的哲學可看作 R 的新(現代)範式,目的就是取其精華、去其糟粕。請 pandas/matplotlib/sklearn 諸君繼續努力,因為我被迫用你們時經常懷念 tidyverse 的某些優雅與效率

評分

##大概因為有點pandas和sklearn的基礎,一刷非常順暢~暑假跟著R for finance類的教材初學R真是不堪迴首=。= #選對入門書太重要!

評分

評分

評分

評分

非常好。之前一直因為R混亂的語法而棄用很多次,但是pandas和jupyter notebook又不夠靈活,勉強用python做瞭一段時間的數據分析。這次偶然接觸瞭tidyverse套件,瞬間覺得R非常清晰好用。另外這本的理念很好,完全摒棄瞭其他R工具書從頭到尾講統計的陋習。

評分

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