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分类于: 云计算&大数据 计算机基础

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R for Data Science: Visualize, Model, Transform, Tidy, and Import Data

R for Data Science: Visualize, Model, Transform, Tidy, and Import Data 9.4分

资源最后更新于 2020-07-18 17:32:28

作者:Hadley Wickham

出版社:O'Reilly Media

出版日期:2016-01

ISBN:9781491910399

文件格式: pdf

标签: R 数据科学 数据分析 编程 统计 Programming R语言 统计学

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http://r4ds.had.co.nz/

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目录

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