圖書標籤: R 數據科學 數據分析 編程 統計 Programming R語言 統計學
发表于2024-06-16
R for Data Science pdf epub mobi txt 電子書 下載 2024
http://r4ds.had.co.nz/
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.
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。
評分遇到Tidyverse大概是這個夏天遇到的最爽的事瞭
評分入門書籍,tidyverse占瞭大頭,基本上也是很主流的包比如ggplot2還有tibble這種,重點是第四部分的函數建模部分,主要是瞭解lm(x~y)的寫法。至於第五章講交互的意義就真的很迷瞭,真的不是拿來湊數的?
評分手頭常備。
評分手頭常備。
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...
評分这本书的定位是 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...
評分这本书的定位是 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...
評分这本书的定位是 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...
評分这本书的定位是 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...
R for Data Science pdf epub mobi txt 電子書 下載 2024