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ggplot2 Essentials

ggplot2 Essentials

By : Donato Teutonico
3.8 (5)
Buy this Book
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ggplot2 Essentials

ggplot2 Essentials

3.8 (5)
By: Donato Teutonico
Buy this Book

Overview of this book

This book is perfect for R programmers who are interested in learning to use ggplot2 for data visualization, from the basics up to using more advanced applications, such as faceting and grouping. Since this book will not cover the basics of R commands and objects, you should have a basic understanding of the R language.
Table of Contents (9 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Graphics in R
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1. Graphics in R
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Getting ggplot2 up and running
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The Integrated Development Environment
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The plotting environments in R
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Standard graphics and grid-based graphics
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Graphics and standard plots
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Lattice and Trellis plots
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ggplot2 and the grammar of graphics
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Further reading
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Summary
2
2. Getting Started
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2. Getting Started
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General aspects
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Histograms and density plots
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Bar charts
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Boxplots
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Scatterplots
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Time series
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Bubble charts and dot plots
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Further reading
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Summary
3
3. The Layers and Grammar of Graphics
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3. The Layers and Grammar of Graphics
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Components of layered grammar
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Creating a plot layer by layer with the ggplot function
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Scales
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The coordinate system
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Faceting
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Layers in ggplot2
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Equivalent coding between qplot and ggplot
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Further reading
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Summary
4
4. Advanced Plotting Techniques
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4. Advanced Plotting Techniques
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Adding statistics
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Advanced aesthetic mapping
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Plots with polar coordinates
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Further reading
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Summary
5
5. Controlling Plot Details
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5. Controlling Plot Details
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Exploring scales
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The plot title and axis labels
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Axis scales
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Legends
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Themes
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Further reading
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Summary
6
6. Plot Output
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6. Plot Output
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Multiple plots in one page
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Saving plots to a file
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Further reading
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Summary
7
7. Special Applications of ggplot2
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7. Special Applications of ggplot2
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Plotting maps with ggplot2 and ggmap
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Scatterplot matrix with GGally
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Plotting heatmaps with ggplot2
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Further reading
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Summary
8
Index
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Index

Advanced aesthetic mapping

In ggplot2, you have already seen how important the role played by aesthetic mapping is. You have the possibility of applying a very sophisticated and personalized scheme of aesthetic mapping in order to represent data or calculate statistical transformations based on the value of a variable used as a flagging factor. In the following sections, we will go through the different options of aesthetic mapping available and how they can be combined in your plot. For most of the examples, we will simply create small datasets by simulating random variables since, for the time being, we are just looking at the different mapping options for the data.

Typical aesthetic mappings available in ggplot2

You have already seen that the most relevant function used when applying aesthetic mapping is the aes() function. Leaving aside the mapping of the x and y variables, which were already covered in the previous chapter, we will now focus on the other mapping options. The most useful...

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Tech Concepts
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Programming languages
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ggplot2 Essentials
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