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Data Visualization: A Practical Introduction 1st Edition

by Kieran Healy (Author)

4.6 214 ratings

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An accessible primer on how to create effective graphics from data

This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.

Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.

Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.

Provides hands-on instruction using R and ggplot2
Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent
Includes a library of data sets, code, and functions

ISBN-10

0691181624
ISBN-13

978-0691181622
Edition

1st
Publisher

Princeton University Press
Publication date

December 18, 2018
Language

English
Dimensions

8 x 0.75 x 10 inches
Print length

296 pages
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Editorial Reviews

Review

"[Healy’s] prose is engaging and chatty, and the style of instruction is unpretentious and practical . . . This single volume represents an excellent entry point for those wishing to upskill their abilities in data visualization."---Paul Cuffe, IEEE Transactions

"Undoubtedly, this book is an excellent introduction to an essential tool for anyone who needs to collect and present data." ― Conservation Biology

Review

“Finally! A data visualization guide that is simultaneously practical and elegant. Healy combines the beauty and insight of Tufte with the concrete helpfulness of Stack Exchange. Data Visualization is brimming with insights into how quantitative analysts can use visualization as a tool for understanding and communication. A must-read for anyone who works with data.”―Elizabeth Bruch, University of Michigan

“Healy’s fun and readable book is unusual in covering the ‘why do’ as well as the ‘how to’ of data visualization, demonstrating how dataviz is a key step in all stages of social science―from theory construction to measurement to modeling and interpretation of analyses―and giving readers the tools to integrate visualization into their own work.”―Andrew Gelman, author of Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do

“Data Visualization is a brilliant book that not only teaches the reader how to visualize data but also carefully considers why data visualization is essential for good social science. The book is broadly relevant, beautifully rendered, and engagingly written. It is easily accessible for students at any level and will be an incredible teaching resource for courses on research methods, statistics, and data visualization. It is packed full of clear-headed and sage insights.”―Becky Pettit, University of Texas at Austin

“Healy provides a unique introduction to the process of visualizing quantitative data, offering a remarkably coherent treatment that will appeal to novices and advanced analysts alike. There is no other book quite like this.”―Thomas J. Leeper, London School of Economics

“Kieran Healy has written a wonderful book that fills an important niche in an increasingly crowded landscape of materials about software in R. Data Visualization is clear, beautifully formatted, and full of careful insights.”―Brandon Stewart, Princeton University

“Healy’s prose is clear and direct. I came away from this book with a much better understanding of both visualizations and R.”―Neal Caren, University of North Carolina, Chapel Hill

“Innovative and extraordinarily well-written.”―Jeremy Freese, Stanford University

Product details

Publisher ‏ : ‎ Princeton University Press; 1st edition (December 18, 2018)
Language ‏ : ‎ English
Paperback ‏ : ‎ 296 pages
ISBN-10 ‏ : ‎ 0691181624
ISBN-13 ‏ : ‎ 978-0691181622
Item Weight ‏ : ‎ 1.6 pounds
Dimensions ‏ : ‎ 8 x 0.75 x 10 inches

Best Sellers Rank: #81,989 in Books (See Top 100 in Books)
- #12 in Mathematical & Statistical Software
- #34 in Data Processing
- #121 in Probability & Statistics (Books)

Customer Reviews:
4.6 214 ratings

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Kieran Healy

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I am Professor of Sociology at Duke University. My current work is about the moral order of market society, the effect of models and measurement on social classification, and the link between those two topics. "The Ordinal Society", a book co-authored with Marion Fourcade, examines these questions. It comes out in Spring 2024. I also work on techniques and methods for data visualization, and some problems in social theory.

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4.6 out of 5

214 global ratings

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Mara

Excellent guide for beginners and experts alike

Reviewed in the United States on January 3, 2019

Verified Purchase

In the preface to the Data Visualization: A Practical Introduction author Kieran Healy writes:

My main goal is to introduce you to both the ideas and the methods of data visualization in a sensible, comprehensible, reproducible way.

Well, mission accomplished. The book is at once enormously readable, and sufficiently technically detailed as to make it easy to implement the principles introduced.

The book itself is also beautifully designed. The use of figures and margin notes give you a sense of being guided through the ideas rather than just being told what they are. I've had lots of fun going back to some of my own visualizations made with R and ggplot2 and improving them based on what I learned here.

I absolutely recommend this to beginners and experts alike. Healy gives you everything you'd need to know if you're starting from scratch, but in such a way as to not slow things down for the more experienced reader. For that reason, it would also make a great book for a course on applied use of R.

7 people found this helpful

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Raymond H.

I use it almost daily

Reviewed in the United States on February 27, 2020

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R and ggplot2 are fundamental to my academic life, but I often feel like the Red Queen — running as fast as I can to try to keep up new techniques and add-on packages. Kieran Healy’s book (Data Visualization: A Practical Introduction) comes to the rescue, and I consult it almost daily. ‘DV’ provides an accessible, step-by-step introduction to the logic, power, and mechanics of traditional and innovative visualizations (also R & RStudio). Moreover, it also explains the principles behind what makes (or breaks) a visualization. Thus reader easily learn how to distinguish good vs. bad plots, as well as how to refine, personalize, and extend a basic plot. Conveniently, Healey has filtered many of the most useful R, ggplot, and even project-management tricks. DV is far more than a mere cookbook. The “where to go next” and appendices are especially useful — even necessary— in the rapidly evolving world of data visualization.

2 people found this helpful

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DGB

Practical and pretty comprehensive guide to ggplot2

Reviewed in the United States on April 15, 2019

Verified Purchase

I first came across this book on the web (a slight earlier version is available free for viewing but not download). It was so helpful on some topics that I ordered the hard copy. Although I have many introductory books on ggplot2, this is significant addition to that group.

The reason is that the author provides a narrative that is easy to read and that focuses on the basic logic of the gg structure (rather than just the syntax). This orientation can be helpful even when the user already knows the syntax (mostly) because it helps create a mental framework that enables more creative use of ggplot2 beyond examples that are provided in the many books available.

I recommend the book even if you have other intro books already and even if you already have basic capabilities in using ggplot2. It is up-to-date and adds a perspective that expands both appreciation and and facility with ggplot2.

3 people found this helpful

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Chris

A nice introduction to modern data visualization in R

Reviewed in the United States on May 22, 2022

Verified Purchase

I picked up this book a while ago, then it sat on my self unread. A need came up to improve some data visualizations for work, and I pulled this book down to get some ideas and understand the tools available to me. I wish I had read it earlier, as it give a very nice introduction to visualization in R using the ggplot library.

To me, the most important aspect was the introduction to the ideas of Wilkinson and "The Grammar of Graphics". It was an eye-opening way to think about processing and presenting data, and will serve me well in the future. The rest of the book is a mostly practical tutorial on different aspects of ggplot.

There are a few errors in the book, some attributed to changing libraries, but any book about working in a programming language is going to suffer from these problems. I would also say that the book starts out strong, then becomes more rote as you get deeper in to it. For example, I feel that the chapter on drawing maps could have been stronger.

If you're interested in upping your data visualization skills, this is a great book to pick up and work through over the course of a couple weeks.

2 people found this helpful

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P.Adler

My Starter Kit for Data Viz

Reviewed in the United States on August 14, 2020

Verified Purchase

Data analysis texts face steep competition from free online resources which will always be more complete and more up to date. I wasn't buying it to replace R Bloggers and other fantastic resources.

I bought this book because I wanted to speed up learning R-based data viz and it succeeded. It took one focused afternoon for me to work through chapters 1-3 . After that, I was able to use the rest of the book and the wider R community to figure out each application.

The only specific feature that I am glad was in this book was mapping. R Mapping seems just a little bit behind other applications and the free tutorials are much worse than the chapter this book.

I sincerely recommend it.

2 people found this helpful

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Denny

Excellent introduction

Reviewed in the United States on August 23, 2020

Verified Purchase

This is the 3rd book I have purchased on data visualization and the first which has examples in R and ggplot2. I am an experienced software engineer returning to school in Spring 2021 for a graduate certificate in data analytics and this book was the right level of information and expertly edited with meaningful examples. At the end of each chapter, the author gives suggestions for where to go next in the text. Like other reviewers, for an experienced programmer, chapters 1-3 and the appendix would have made a worthwhile book by itself. But add in the rest of the chapters and this book could easily be used for a graduate class in data visualization.

One person found this helpful

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An Mak

Nice but not worth the money it costs

Reviewed in the United Kingdom on June 23, 2021

Verified Purchase

I so much wanted this to contain more interesting and new ideas for visualisations

Alejandro

Excelente

Reviewed in Mexico on December 7, 2019

Verified Purchase

Llego en el tiempo establecido y el contenido es bueno, ya que hay ejemplos de gráficos bastante atractivos.

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Travelrulezzzzzzzz

Great resource

Reviewed in Germany on November 13, 2019

Verified Purchase

Great resource for visualisation with R. Would definitely recommend this book.

One person found this helpful

Bruno

A book for everyone

Reviewed in Spain on April 6, 2019

Verified Purchase

This book is for the people who need to work with graphics and data. Specially if you are going to use the language “R”. Its very easy to follow. Its not a book about “programming” although you will have to write code if you want to follow the examples. The author use the popular R package ggplot2 . A Good book

Excel

Great book but poor print quality

Reviewed in Australia on June 5, 2020

Verified Purchase

The book itself is well written: good pacing, clear prose and excellent examples. Only one warning: examples rely on manipulating data using additional R packages only from the "tidyverse" series - whereas quite a few of the manipulation are better illustrated using the inbuilt R commands.

The problem is the print quality. Even though R can produce vector graphics (SVG, even mentioned in the book) this book's illustrations were rendered in a compressed format at a low resolution leading to quite poor fuzzy graphics and muted colours. This is simply unforgiveable in a book all about how to present the best graphics using R.

Finally my copy had a number of pages with ink smudges resulting from a problem during the print run - also a big issue in a book all about presentation quality.

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