Swizec Teller - Data Visualization with d3.js
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Copyright 2013 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: October 2013
Production Reference: 1181013
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78216-000-7
www.packtpub.com
Cover Image by Ravaji Babu (<>)
Author
Swizec Teller
Reviewers
Kamal Marhubi
Pablo Navarro
Kent Russell
Acquisition Editor
Wilson D'souza
Commissioning Editors
Llewellyn Rozario
Poonam Jain
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Cover Work
Nitesh Thakur
Swizec Teller is a geek with a hat. Founding his first startup at 21, he is now looking for the next big idea as a full-stack web generalist focusing on freelancing for early-stage startup companies.
When he isn't coding, he's usually blogging, writing books, or giving talks at various non-conference events in Slovenia and nearby countries. He is still looking for a chance to speak at a big international conference.
In November 2012, he started writing Why Programmers Work at Night , and set out on a quest to improve the lives of developers everywhere.
I want to thank @gandalfar and @robertbasic for egging me on while writing and being my guinea pigs for the examples. I also want to send love to everyone at @psywerx for keeping me sane and creating one of the best datasets ever.
Pablo Navarro is a data visualization consultant from Chile. He earned his Masters degree in Applied Mathematics from cole des Mines de Saint-Etienne, France. After working for some years in operations research and data analysis, he decided to specialize in data visualization for web platforms, in which he currently works. In his free time, he enjoys doing watercolor illustrations, running, and reading about human evolution. His most recent works can be seen at http://pnavarrc.github.io.
Kent Russell is an investment manager passionate about data visualization
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When learning d3.js on your own, there is often a feeling of Step 1: Draw two circles , Step 2: Draw the rest of the owl . This book tries to bridge that gap.
It uses complete examples that take you from basic shapes on a page to full-blown examples. There is no magic here, no steps are left unexplained. You will understand everything that goes into making a visualization with d3.js.
We'll touch everything from manipulating data to make it easier to work with, to using advanced features to separate drawing from calculating coordinates.
, Getting Started with d3.js , gives a simple example to show you the basics of d3.js and helps you to set up a common environment, which is used throughout the rest of the book.
, A Primer on DOM, SVG, and CSS , explains in detail how to use d3.js for manipulating content on a page, paying special attention to SVG and the core tools for creating images.
, Making Data Useful , shows you how to manipulate data in a functional manner, load data from external sources, and use the built-in tools of d3.js to avoid tedious coding.
, Making Things Move , talks about animating visualizations with d3.js and allowing users to interact with your images.
, Layouts d3's Black Magic , explains how d3.js layouts work and shows you how to use the same dataset to get vastly different images. The fancy visualizations out there will no longer look like magic.
, Designing Good Visualizations , looks at a few examples of great visualizations from around the web and discusses just what it is that makes them great.
You don't need much to play along with the examples. A machine geared for web development will have everything.
We assumed the Chrome browser in the examples, but everything should work in Safari, Firefox, and Internet Explorer Version 10 and above. The specific browser only affects how your debugging tools work, but they're very similar in all browsers anyway.
We also use Python to run a small server. If you're using Mac or Linux, Python is already installed; otherwise, you've to get a version. The only thing we ever do with Python is run a single command.
And lastly, you are going to need a text editor. Personally I like Emacs, but Sublime and Notepad++ are also popular choices. Yes, you can use Vim too.
This book is for everyone who's tried learning d3.js on their own, looked at a few examples and thought: "What the hell is this magic?".
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