R for Data Science 在线电子书 图书标签: R 数据科学 数据分析 编程 统计 Programming R语言 统计学
发表于2025-03-22
R for Data Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
手头常备。
评分入门书籍,tidyverse占了大头,基本上也是很主流的包比如ggplot2还有tibble这种,重点是第四部分的函数建模部分,主要是了解lm(x~y)的写法。至于第五章讲交互的意义就真的很迷了,真的不是拿来凑数的?
评分手头常备。
评分大概因为有点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!
评分刷新对R认识的作品
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/
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...
R for Data Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025