Iliinsky Noah Steele Julie - Beautiful Visualization
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With contributions from more than two dozen experts, this book demonstrates why visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. Think of the familiar map of the New York City subway system, or a diagram of the human brain. These older examples have been surpassed by artists, designers, commentators, scientists, analysts, statisticians, and others who show how visualizations using todays digital capabilities can help us make sense of the world.
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Copyright 2010 O'Reilly Media, Inc.
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The O'Reilly logo is a registered trademark of O'Reilly Media, Inc. Beautiful Visualization , the cover image, and related trade dress are trademarks of O'Reilly Media, Inc.
Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and O'Reilly Media, Inc. was aware of a trademark claim, the designations have been printed in caps or initial caps.
While every precaution has been taken in the preparation of this book, the publisher and authors assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein.
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THIS BOOK FOUND ITS BEGINNINGS as a natural outgrowth of Toby Segaran and Jeff Hammerbacher's Beautiful Data (O'Reilly), which explores everything from data gathering to data storage and organization and data analysis. While working on that project, it became clear to us that visualizationthe practice of presenting information for consumption as artwas a topic deep and wide enough to warrant a separate examination. When done beautifully, successful visualizations are deceptive in their simplicity, offering the viewer insight and new understanding at a glance. We hoped to help those new to this growing field uncover the methods and decision-making processes experts use to achieve this end.
Particularly intriguing when assembling a list of potential contributors was how many ways the word beautiful can be interpreted. The book that founded this series, Andy Oram and Greg Wilson's Beautiful Code (O'Reilly), defined beauty as a simple and elegant solution to some kind of problem. But visualizationas a combination of information and artnaturally combines both problem solving and aesthetics, allowing us to consider beauty in both the intellectual and classic senses.
We hope you will be as delighted as we are by the diversity of backgrounds, projects, and approaches represented in this book. Different as they are, the chapters do offer some themes to the thoughtful and observant. Look for ideas about storytelling, color use, levels of granularity in the data, and user exploration woven throughout the book. Tug on these threads, and see where they take you in your own work.
The royalties for this book are being donated to Architecture for Humanity (http://www.architectureforhumanity.org), an organization dedicated to making the world better by bringing design, construction, and development services to the places where they are most critically needed. We hope you'll consider how your own design processes shape the world.
Here's a preview of what you'll find in this book:
, by Noah Iliinsky, offers an examination of what we mean by beauty in the context of visualization, why it's a worthy goal to pursue, and how to get there.
, by Matthias Shapiro, explains the importance of storytelling to visualization and walks readers through the creation of a simple visualization project they can do on their own.
, by Jonathan Feinberg, explains the inner workings of his popular method for visualizing a body of text, discussing both the technical and aesthetic choices the author made along the way.
, by Michael Driscoll, shows how color can be used effectively to convey additional dimensions of data that our brains are able to recognize before we're aware of it.
, by Eddie Jabbour, explores the humble subway map as a basic visualization tool for understanding complex systems.
, by Aaron Koblin with Valdean Klump, visualizes civilian air traffic in the United States and Canada to reveal a method to the madness of air travel.
, by Valdis Krebs, digs into behavioral data to show how the books we buy and the people we associate with reveal clues about our deeper selves.
, by Andrew Odewahn, uses quantitative evidence to evaluate a qualitative story about voting coalitions in the United States Senate.
, by Todd Holloway, uses a proximity graphing technique to explore the dynamics of search and discovery as they apply to YELLOWPAGES.COM and the Netflix Prize.
, by Adam Perer, empowers users to dig into chaotic social network visualizations with interactive techniques that integrate visualization and statistics.
, by Martin Wattenberg and Fernanda Vigas, takes readers through the process of exploring an unknown phenomenon through visualization, from initial sketches to published scientific papers.
, by Robert Kosara, emphasizes the relationship between the visual representation of data and the underlying data structure or database design.
, by Moritz Stefaner, describes the process of striving to find a representation of information that is not only useable and informative but also sensual and evocative.
, by Maximilian Schich, uncovers nonintuitive structures in curated databases arising from local activity by the curators and the heterogeneity of the source data.
, by Jer Thorp, guides readers through using the API to explore and visualize data from the New York Times archives.
, by Michael Young and Nick Bilton, relates how the New York Times R&D group is using Python and Map/Reduce to examine web and mobile site traffic data across the country and around the world.
, by Lance Putnam, Graham Wakefield, Haru Ji, Basak Alper, Dennis Adderton, and Professor JoAnn Kuchera-Morin, describes the remarkable scientific exploration made possible by cutting-edge visualization and sonification techniques at the AlloSphere.
, by Anders Persson, examines new imaging technologies being used to collect and analyze data on human and animal cadavers.
, by Danyel Fisher, attempts to work out a framework for designing animated visualizations.
, by Jessica Hagy, provides insight into various aspects of the "elephant" we call visualization such that we come away with a better idea of the big picture.
The following typographical conventions are used in this book:
Indicates new terms, URLs, email addresses, filenames, and file extensions. Also used for emphasis in the text.
Constant widthUsed for program listings, as well as within paragraphs to refer to program elements such as variable or function names, databases, data types, environment variables, statements, and keywords.
Constant width boldUsed for emphasis within code listings.
Constant width italicShows text that should be replaced with user-supplied values or by values determined by context.
This book is here to help you get your job done. In general, you may use the code in this book in your programs and documentation. You do not need to contact us for permission unless you're reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from O'Reilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your product's documentation does require permission.
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