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/
發表於2024-12-25
R for Data Science 2024 pdf epub mobi 電子書 下載
學R是在2012年在Jenny Bryan的stats 540的課上, Jenny也是本書幾個章節的作者之一。 那時,課上畫圖用的是 lattice,這個包隻包括瞭一些常見的畫圖函數,有些圖沒有,經常還得去找其他的包,理解不同函數的輸入參數。同一個事情,不同包的控製參數名稱完全不一樣,經常找不到或...
評分這本書的定位是 data science 入門書,特點是使用瞭 tidyverse 的一套哲學。整體思路可藉用書中的一張圖來說明: 首先明確幾點原則: 1. 工具不是重點,創造價值纔是目的。具體到數據科學,錶現形式往往是提供解決方案或者做齣某種決策。至於使用什麼語言,采用什麼工具,不本...
評分這本書的定位是 data science 入門書,特點是使用瞭 tidyverse 的一套哲學。整體思路可藉用書中的一張圖來說明: 首先明確幾點原則: 1. 工具不是重點,創造價值纔是目的。具體到數據科學,錶現形式往往是提供解決方案或者做齣某種決策。至於使用什麼語言,采用什麼工具,不本...
評分這本書的定位是 data science 入門書,特點是使用瞭 tidyverse 的一套哲學。整體思路可藉用書中的一張圖來說明: 首先明確幾點原則: 1. 工具不是重點,創造價值纔是目的。具體到數據科學,錶現形式往往是提供解決方案或者做齣某種決策。至於使用什麼語言,采用什麼工具,不本...
評分學R是在2012年在Jenny Bryan的stats 540的課上, Jenny也是本書幾個章節的作者之一。 那時,課上畫圖用的是 lattice,這個包隻包括瞭一些常見的畫圖函數,有些圖沒有,經常還得去找其他的包,理解不同函數的輸入參數。同一個事情,不同包的控製參數名稱完全不一樣,經常找不到或...
圖書標籤: R 數據科學 數據分析 編程 統計 Programming R語言 統計學
這書可以翻翻,裏麵的很多package並不常用,像什麼tidy 很少用的。作為參考書是可以的,但是入門這本書並不好
評分手頭常備。
評分入門書。Tidyverse 的哲學可看作 R 的新(現代)範式,目的就是取其精華、去其糟粕。請 pandas/matplotlib/sklearn 諸君繼續努力,因為我被迫用你們時經常懷念 tidyverse 的某些優雅與效率
評分我十分十分十分不理解這本書的編排。第 3 章 ggplot,第 5 章 dplyr,這都 OK;第 4、6、8 章講 R 和 RStudio 基礎,這是什麼鬼套路?!學完 tidyverse 收工
評分真的討厭r
R for Data Science 2024 pdf epub mobi 電子書 下載