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R for Data Science, 2nd Edition
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R for Data Science, 2nd Edition
by Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
R for Data Science, 2nd Edition
Introduction
I. Whole Game
1. Data Visualization
2. Workflow: Basics
3. Data Transformation
4. Workflow: Code Style
5. Data Tidying
6. Workflow: Scripts and Projects
7. Data Import
8. Workflow: Getting Help
II. Visualize
9. Layers
10. Exploratory Data Analysis
11. Communication
III. Transform
12. Logical Vectors
13. Numbers
14. Strings
15. Regular Expressions
16. Factors
17. Dates and Times
18. Missing Values
19. Joins
IV. Import
20. Spreadsheets
21. Databases
22. Arrow
23. Hierarchical Data
24. Web Scraping
V. Program
25. Functions
26. Iteration
27. A Field Guide to Base R
VI. Communicate
28. Quarto
29. Quarto Formats
Index
About the Authors
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