R for Data Science epub pdf mobi txt 电子书 下载 2024
发表于2024-11-19
R for Data Science epub pdf mobi txt 电子书 下载 2024
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/
R for Data Science epub pdf mobi txt 电子书 下载 2024
R for Data Science 下载 epub mobi pdf txt 电子书 2024R for Data Science mobi pdf epub txt 电子书 下载 2024
R for Data Science epub pdf mobi txt 电子书 下载##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。
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 评分 评分 评分##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 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...
R for Data Science epub pdf mobi txt 电子书 下载 2024