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

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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。

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##學R是在2012年在Jenny Bryan的stats 540的課上, Jenny也是本書幾個章節的作者之一。 那時,課上畫圖用的是 lattice,這個包隻包括瞭一些常見的畫圖函數,有些圖沒有,經常還得去找其他的包,理解不同函數的輸入參數。同一個事情,不同包的控製參數名稱完全不一樣,經常找不到或...  

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##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。

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##沒太明白tidy data 有啥用...好像和一般的用法也沒啥區彆

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##遇到Tidyverse大概是這個夏天遇到的最爽的事瞭

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