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/
##手头常备。
评分##R 是个丑八怪, tidyverse 给 R 整了个容
评分##赞美Hadley!! 这本书的定位是 data science 入门书,特点是使用了 tidyverse 的一套哲学。整体思路可借用书中的一张图来说明: 首先明确几点原则: 1. 工具不是重点,创造价值才是目的。具体到数据科学,表现形式往往是提供解决方案或者做出某种决策。至于使用什么语言,采用什么工具,不本...
评分 评分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...
评分##刷新对R的三观
评分 评分 评分##赞美Hadley!! 这本书的定位是 data science 入门书,特点是使用了 tidyverse 的一套哲学。整体思路可借用书中的一张图来说明: 首先明确几点原则: 1. 工具不是重点,创造价值才是目的。具体到数据科学,表现形式往往是提供解决方案或者做出某种决策。至于使用什么语言,采用什么工具,不本...
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