ggplot2: elegant graphics for data analysis
Welcome
Preface to the third edition
- Major changes
Preface to the second edition
I Getting started
1 Introduction
2 First steps
II Layers
Introduction
3 Individual geoms
- 3.1 Basic plot types
  - 3.1.1 Exercises
4 Collective geoms
5 Statistical summaries
6 Maps
7 Annotations
8 Arranging plots
III Scales
Introduction
- 8.1 Scale names
9 Position scales and axes
10 Colour scales and legends
11 Other aesthetics
IV The Grammar
12 Mastering the grammar
13 Build a plot layer by layer
14 Scales and guides
15 Coordinate systems
- 15.1 Linear coordinate systems
- 15.2 Non-linear coordinate systems
16 Facetting
17 Themes
V Extending ggplot2
18 Programming with ggplot2
19 ggplot2 internals
20 Writing ggplot2 extensions
21 Extension Case Study: Springs, Part 1
22 Extension Case Study: Springs, Part 2
- 22.1 Moving to aesthetics
- 22.2 Post-Mortem
23 Extension Case Study: Springs, Part 3
- 23.1 Geom extensions
- 23.2 Post-Mortem
24 Extension Case Study: Springs, Part 4
25 Extension Case Study: Springs, Part 5
References
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ggplot2: Elegant Graphics for Data Analysis

ggplot2: Elegant Graphics for Data Analysis

Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen

Welcome

This is the online version of work-in-progress 3rd edition of “ggplot2: elegant graphics for data analysis”