Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying R Data Visualization Cookbook
  • Table Of Contents Toc
R Data Visualization Cookbook

R Data Visualization Cookbook

By : Gohil
4.2 (6)
Buy this Book
close
close
R Data Visualization Cookbook

R Data Visualization Cookbook

4.2 (6)
By: Gohil
Buy this Book

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

Introduction

Pie charts, as mediums of data representation, have been widely used in news media, corporate presentations, and research papers. Pie charts have been used in the past to compare data between two time periods as well as to represent parts of a whole in a single pie. However, even with such widespread use, they have been criticized by statisticians. The blog post at http://www.r-chart.com/2010/07/pie-charts-in-ggplot2.html summarizes the main criticism as follows:

  • The relative size of each slice is difficult to interpret. Studies have shown that pie charts are hard to read
  • Pie charts require too much space to present too little information
  • They are frequently rendered in 3D (this makes the previous two issues worse)

The main criticism of pie charts is that they are difficult to interpret, especially when the difference between two slices of a pie is small. Human beings are not trained well to observe angles; hence, many times, pie charts might even be interpreted wrongly. Even...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
R Data Visualization Cookbook
End of Section 5
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon