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)
具体描述
http://r4ds.had.co.nz/
用户评价
评分
##刷新对R的三观
评分##遇到Tidyverse大概是这个夏天遇到的最爽的事了
评分##读得不太认真，有需要再复习吧。R毕竟不是专门做统计的，大部分场合下当然没有stata之类直观，纵有万般好，也不必过分推崇。我决定实用主义地穿插着用各种软件，虽然姿势难看，但是省劲儿啊……
评分##遇到Tidyverse大概是这个夏天遇到的最爽的事了
评分##Hadley Wickham不仅一人支撑起了R的半壁江山，还精心教育社区成员数据分析的正确姿势。
评分##Hadley Wickham的数据哲学
评分##刷新对R的三观
评分##入门书。Tidyverse 的哲学可看作 R 的新（现代）范式，目的就是取其精华、去其糟粕。请 pandas/matplotlib/sklearn 诸君继续努力，因为我被迫用你们时经常怀念 tidyverse 的某些优雅与效率
评分##手头常备。
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