Mike Dewar - Getting Started with D3
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Learn how to create beautiful, interactive, browser-based data visualizations with the D3 JavaScript library. This hands-on book shows you how to use a combination of JavaScript and SVG to build everything from simple bar charts to complex infographics. Youll learn how to use basic D3 tools by building visualizations based on real data from the New York Metropolitan Transit Authority.
Using historical tables, geographical information, and other data, youll graph bus breakdowns and accidents and the percentage of subway trains running on time, among other examples. By the end of the book, youll be prepared to build your own web-based data visualizations with D3.
- Join a dataset with elements of a webpage, and modify the elements based on the data
- Map data values onto pixels and colors with D3s scale objects
- Apply axis and line generators to simplify aspects of building visualizations
- Create a simple UI that allows users to investigate and compare data
- Use D3 transitions in your UI to animate important aspects of the data
- Get an introduction to D3 layout tools for building more sophisticated visualizations
If you can code and manipulate data, and know how to work with JavaScript and SVG, this book is for you.
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Supplemental files and examples for this book can be found at http://examples.oreilly.com/0636920025429/. Please use a standard desktop web browser to access these files, as they may not be accessible from all ereader devices.
All code files or examples referenced in the book will be available online. For physical books that ship with an accompanying disc, whenever possible, weve posted all CD/DVD content. Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to .
The D3 JavaScript library allows us to make beautiful, interactive, browser-based data visualizations. By exposing the underlying elements of a web page in the context of a data set, D3 gives you complete control over your visualization. This fantastic power, though, comes with a short, sharp learning curvea curve that this book aims to overcome.
By working through a collection of data sets, we will build up a series of visualizations, exposing new D3 concepts along the way. The data for this book has been gathered and made publicly available by the New York Metropolitan Transit Authority (MTA) and details various aspects of New Yorks transit system, comprising of historical tables, live data streams, and geographical information. By the end of the book, we will have visited some of the core aspects of D3, and will be properly equipped to build basic, interactive data visualizations on the Web.
This is a little book aimed at the data scientist: someone who has data to visualize and who wants to use the power of the modern web browser to give his visualizations additional impact. This might be an academic who wants to escape the confines of the printed article, a statistician who needs to share their impressive results with the rest of her company, or the designer who wants to get his info-viz out far and wide on the Internet.
Its assumed, therefore, that the reader is happy with coding and manipulating data. We will not cover any statistics or modelling, we will not stray outside the JavaScript or SVG we need for the visualizations, and we wont discuss aesthetics past what we consider basic good taste. These are important topics and we point to Machine Learning for Hackers by Drew Conway and John Myles White, JavaScript: The Good Parts by Douglas Crockford, SVG Essentials by J. David Eisenberg, and Visualizing Data by Ben Fry for these important introductions.
The following typographical conventions are used in this book:
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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 youre 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 OReilly 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 products documentation does require permission.
We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example: Getting Started with D3 by Mike Dewar (OReilly). Copyright 2012 Mike Dewar, 978-1-449-32879-5.
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Id like to thank Mike Bostock for putting together such a fine library, and for his help and comments. My good friends and colleagues Brian Eoff, John Myles White, Drew Conway, Max Shron, and Gabriel Gaster have all helped tremendously with technical comments (and the occasional British to American English conversion). My editor and conscience Meghan Blanchette has been remarkably effective, somehow coaxing this little book out of me without yelling. Most of all, Id like to thank my fiancee Monica Vakil for her love, patience, and support.
Visualizing data is now an old trade. We have, in one way or another, been visualizing collected data for a long timethe year of this writing is the 143rd birthday of Minards famous Napoleons March flow map shown in . Lately, though, weve gone into overdrive, as the amount of data we capture increases without bound and our ability to glean insights from it develops and matures. The Internet, combined with the latest generation of browsers, gives us a fantastic opportunity to take our urge to visualize to the next level: to create live, interactive graphics that have the opportunity to reach millions of people.
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