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.
发表于2025-02-02
R for Data Science 2025 pdf epub mobi 电子书
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...
评分学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...
图书标签: R 数据科学 数据分析 编程 统计 Programming R语言 统计学
http://r4ds.had.co.nz/
花了一年的时间,跟同事一起把这本书以上课时间讲完了。受益匪浅。是一本非常应用的书。入门R的同学可以看,这是tydiserve 体系的R。容易上手。也够用。如果是14年之前接触R的,也建议读一下,真的很方便。但是如果对R使用和时间要求比较高,那还是要从传统的R入手,这本书应用性强,理论性太浅。
评分真的讨厌r
评分Hadley出品,必属精品。技术和数据哲学融为一体,R数据科学圣经。
评分遇到Tidyverse大概是这个夏天遇到的最爽的事了
评分辗转于matlab/python+pandas/R后,终于发现了R配合tidyverse配合ggplot2配合RStudio,才是最契合交互式代码+图像快速探索数据,形成数据分析思路的终极利器。
R for Data Science 2025 pdf epub mobi 电子书