Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham / Mine Çetinkaya-Rundel …
简介
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way. You'll understand how
contents
Preface to the second edition
1 Introduction
I. Whole game
2 Data visualization
3 Workflow: basics
4 Data transformation
5 Workflow: code style
6 Data tidying
7 Workflow: scripts and projects
8 Data import
9 Workflow: getting help
II. Visualize
10 Layers
11 Exploratory data analysis
12 Communication
III. Transform
13 Logical vectors
14 Numbers
15 Strings
16 Regular expressions
17 Factors
18 Dates and times
19 Missing values
20 Joins
IV. Import
21 Spreadsheets
22 Databases
23 Arrow
24 Hierarchical data
25 Web scraping
V. Program
26 Functions
27 Iteration
28 A field guide to base R
VI. Communicate
29 Quarto
30 Quarto formats
