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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

Bar charts

Bar charts are usually used to explore how one (or more) categorical variables are distributed. In qplot(), this is done using the geom option bar. This geometry counts the number of occurrences of each factor variable, which appears in the data. To show an example of the bar chart, we will use the movies dataset, which is included within the ggplot2 package. We have already seen how to recall the dataset included with the basic installation of R, but if you are interested in the list of datasets within a specific package (ggplot2 in this case), you can use the following code:

require(ggplot2)       ## Load ggplot2 if needed
data(package="ggplot2")  ## List of dataset within ggplot2

The movies dataset contains information about movies, including the rating, from the http://imdb.com/ website. You can get a more detailed description in the help page of the dataset.

This dataset contains different variables but, for our example, we will not need all of them, so let´s rearrange a bit...

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ggplot2 Essentials
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