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R Data Visualization Cookbook

You're reading from   R Data Visualization Cookbook Over 80 recipes to analyze data and create stunning visualizations with R

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Length 236 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Simple Guide to R FREE CHAPTER 2. Basic and Interactive Plots 3. Heat Maps and Dendrograms 4. Maps 5. The Pie Chart and Its Alternatives 6. Adding the Third Dimension 7. Data in Higher Dimensions 8. Visualizing Continuous Data 9. Visualizing Text and XKCD-style Plots 10. Creating Applications in R Index

Constructing a box and whiskers plot


Box plots, also known as box and whisker diagrams, assist us in studying the distribution of the data and also provide us with information regarding the outliers. Box plots display the minimum, maximum, median, and interquartile range of each variable in the data. The Flowing Data website provides a very detailed description on how to read a box plot. The following plot shows the distribution and the outliers of wage data. We observe that as the level of education increases, the wage earned also increases.

Getting ready

Box plots are generated in R using the basic R package. The wage data used to generate the box plot is available with the ISLR package and hence needs to be loaded in R. The following lines of code are used to load the package:

install.packages("ISLR")
library("ISLR")

How to do it…

We can get a general idea about the distribution of data using the summary() function:

summary(Wage)

We set the margin of the plot using the mar argument within the...

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