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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 network plots


One of the first visualizations that introduced me to network plots was Visualizing Friendships. Network plots are not just limited to social networks but are observed in finance to study the linkages between Markets; they have been implemented in medicine to study the spread of viruses; and they have also been used to study social dynamics of groups, such as a network of friends. Network is an actively researched field and lots of books and articles have been published on it.

In this recipe, we will study the basics of creating a network plot using a random dataset.

Getting ready

We will construct a network plot using the igraph package in R.

How to do it…

To construct a network plot, we will install the igraph package and also load it in our active R session by typing the following lines of code:

install.packages("igraph")
library(igraph)

Next, we generate fake data and import it in R using the read.csv() function:

net = read.csv("network.csv", sep = ",", header = TRUE...
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