Chapter 1 Data Visualization with ggplot2
Chapter 2 Workflow: Basics
Chapter 3 Data Transformation with dplyr
Chapter 4 Workflow: Scripts
Chapter 5 Exploratory Data Analysis
Chapter 6 Workflow: Projects
Chapter 7 Tibbles with tibble
Chapter 8 Data Import with readr
Chapter 9 Tidy Data with tidyr
Chapter 10 Relational Data with dplyr
Chapter 11 Strings with stringr
Chapter 12 Factors with forcats
Chapter 13 Dates and Times with lubridate
Chapter 14 Pipes with magrittr
Chapter 15 Functions
Chapter 16 Vectors
Chapter 17 Iteration with purrr
Chapter 18 Model Basics with modelr
Chapter 19 Model Building
Chapter 20 Many Models with purrr and broom
Chapter 21 R Markdown
Chapter 22 Graphics for Communication with ggplot2
Chapter 23 R Markdown Formats
Chapter 24 R Markdown Workflow
· · · · · · (收起)
Chapter 2 Workflow: Basics
Chapter 3 Data Transformation with dplyr
Chapter 4 Workflow: Scripts
Chapter 5 Exploratory Data Analysis
Chapter 6 Workflow: Projects
Chapter 7 Tibbles with tibble
Chapter 8 Data Import with readr
Chapter 9 Tidy Data with tidyr
Chapter 10 Relational Data with dplyr
Chapter 11 Strings with stringr
Chapter 12 Factors with forcats
Chapter 13 Dates and Times with lubridate
Chapter 14 Pipes with magrittr
Chapter 15 Functions
Chapter 16 Vectors
Chapter 17 Iteration with purrr
Chapter 18 Model Basics with modelr
Chapter 19 Model Building
Chapter 20 Many Models with purrr and broom
Chapter 21 R Markdown
Chapter 22 Graphics for Communication with ggplot2
Chapter 23 R Markdown Formats
Chapter 24 R Markdown Workflow
· · · · · · (收起)
具體描述
http://r4ds.had.co.nz/
用戶評價
評分
##Hadley Wickham的數據哲學
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##沒太明白tidy data 有啥用...好像和一般的用法也沒啥區彆
評分##贊美Hadley!!
評分非常好。之前一直因為R混亂的語法而棄用很多次，但是pandas和jupyter notebook又不夠靈活，勉強用python做瞭一段時間的數據分析。這次偶然接觸瞭tidyverse套件，瞬間覺得R非常清晰好用。另外這本的理念很好，完全摒棄瞭其他R工具書從頭到尾講統計的陋習。
評分##刷新對R的三觀
評分##刷新對R的三觀
評分##遇到Tidyverse大概是這個夏天遇到的最爽的事瞭
評分##刷新對R的三觀
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