Book Image

R Data Visualization Cookbook

Book Image

R Data Visualization Cookbook

Overview of this book

If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.

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R Data Visualization Cookbook
Jan, 2015 | 3 hours 56 minutes
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Table of Contents (12 chapters)
Preface
Preface
What this book covers
What you need for this book
Who this book is for
Sections
Conventions
Reader feedback
Customer support
Free Chapter
1
1. A Simple Guide to R
1. A Simple Guide to R
Installing packages and getting help in R
Data types in R
Special values in R
Matrices in R
Editing a matrix in R
Data frames in R
Editing a data frame in R
Importing data in R
Exporting data in R
Writing a function in R
Writing if else statements in R
Basic loops in R
Nested loops in R
The apply, lapply, sapply, and tapply functions
Using par to beautify a plot in R
Saving plots
2
2. Basic and Interactive Plots
2. Basic and Interactive Plots
Introduction
Introducing a scatter plot
Scatter plots with texts, labels, and lines
Connecting points in a scatter plot
Generating an interactive scatter plot
A simple bar plot
An interactive bar plot
A simple line plot
Line plot to tell an effective story
Generating an interactive Gantt/timeline chart in R
Merging histograms
Making an interactive bubble plot
Constructing a waterfall plot in R
3
3. Heat Maps and Dendrograms
3. Heat Maps and Dendrograms
Introduction
Constructing a simple dendrogram
Creating dendrograms with colors and labels
Creating a heat map
Generating a heat map with customized colors
Generating an integrated dendrogram and a heat map
Creating a three-dimensional heat map and a stereo map
Constructing a tree map in R
4
4. Maps
4. Maps
Introduction
Introducing regional maps
Introducing choropleth maps
A guide to contour maps
Constructing maps with bubbles
Integrating text with maps
Introducing shapefiles
Creating cartograms
5
5. The Pie Chart and Its Alternatives
5. The Pie Chart and Its Alternatives
Introduction
Generating a simple pie chart
Constructing pie charts with labels
Creating donut plots and interactive plots
Generating a slope chart
Constructing a fan plot
6
6. Adding the Third Dimension
6. Adding the Third Dimension
Introduction
Constructing a 3D scatter plot
Generating a 3D scatter plot with text
A simple 3D pie chart
A simple 3D histogram
Generating a 3D contour plot
Integrating a 3D contour and a surface plot
Animating a 3D surface plot
7
7. Data in Higher Dimensions
7. Data in Higher Dimensions
Introduction
Constructing a sunflower plot
Creating a hexbin plot
Generating interactive calendar maps
Creating Chernoff faces in R
Constructing a coxcomb plot in R
Constructing network plots
Constructing a radial plot
Generating a very basic pyramid plot
8
8. Visualizing Continuous Data
8. Visualizing Continuous Data
Introduction
Generating a candlestick plot
Generating interactive candlestick plots
Generating a decomposed time series
Plotting a regression line
Constructing a box and whiskers plot
Generating a violin plot
Generating a quantile-quantile plot (QQ plot)
Generating a density plot
Generating a simple correlation plot
9
9. Visualizing Text and XKCD-style Plots
9. Visualizing Text and XKCD-style Plots
Introduction
Generating a word cloud
Constructing a word cloud from a document
Generating a comparison cloud
Constructing a correlation plot and a phrase tree
Generating plots with custom fonts
Generating an XKCD-style plot
10
10. Creating Applications in R
10. Creating Applications in R
Introduction
Creating animated plots in R
Creating a presentation in R
A basic introduction to API and XML
Constructing a bar plot using XML in R
Creating a very simple shiny app in R
11
Index
Index

Chapter 1. A Simple Guide to R

In this chapter, we will cover the following recipes:

  • Installing packages and getting help in R
  • Data types in R
  • Special values in R
  • Matrices in R
  • Editing a matrix in R
  • Data frames in R
  • Editing a data frame in R
  • Importing data in R
  • Exporting data in R
  • Writing a function in R
  • Writing if else statements in R
  • Basic loops in R
  • Nested loops in R
  • The apply, lapply, sapply, and tapply functions
  • Using par to beautify a plot in R
  • Saving plots
Previous Section
End of Section 1
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