Data Visualization with D3.js Cookbook
By Nick Qi Zhu
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Data Visualization with D3.js Cookbook - Nick Qi Zhu
Table of Contents
Data Visualization with D3.js Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers and more
Why Subscribe?
Free Access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Getting Started with D3.js
Introduction
Setting up a simple D3 development environment
Getting Ready
How to do it...
How it works...
There's more...
How to get source code
Setting up an NPM-based development environment
Getting Ready
How to do it...
How it works...
There's more...
Setup a local HTTP server
Python Simple HTTP Server
Node.js HTTP Server
Understanding D3-style JavaScript
Getting ready
How to do it...
How it works...
Functions are objects
Static variable scoping
Variable-parameter function
Function chaining
There's more...
Finding and sharing code
How to get help
2. Be Selective
Introduction
Selecting a single element
Getting ready
How to do it...
How it works...
Selecting multiple elements
Getting ready
How to do it...
How it works...
Iterating through a selection
Getting ready
How to do it...
How it works...
Performing subselection
Getting ready
How to do it...
How it works...
Function chaining
Getting ready
How to do it...
How it works...
Manipulating the raw selection
Getting ready
How to do it...
How it works...
3. Dealing with Data
Introduction
The enter-update-exit pattern
Binding an array as data
Getting Ready
How to do it...
How it works...
Binding object literals as data
Getting Ready
How to do it...
How it works...
Binding functions as data
Getting Ready
How to do it...
How it works...
Working with arrays
Getting Ready
How to do it...
How it works...
Filtering with data
Getting Ready
How to do it...
How it works...
Sorting with data
Getting Ready
How to do it...
How it works...
Loading data from a server
Getting Ready
How to do it...
How it works...
4. Tipping the Scales
Introduction
What are scales?
Using quantitative scales
Getting Ready
How to do it...
How it works...
There's more...
Using the time scale
Getting Ready
How to do it...
How it works...
There's more...
See also
Using the ordinal scale
Getting Ready
How to do it...
How it works...
Interpolating a string
Interpolator
Getting Ready
How to do it...
How it works...
There's more...
Interpolating colors
Getting Ready
How to do it...
How it works...
See also
Interpolating compound objects
Getting Ready
How to do it...
How it works...
Implementing a custom interpolator
Getting Ready
How to do it...
How it works...
See also
5. Playing with Axes
Introduction
Working with basic axes
Getting Ready
How to do it...
How it works...
Customizing ticks
Getting Ready
How to do it...
How it works...
Drawing grid lines
Getting Ready
How to do it...
How it works...
Dynamic rescaling of axes
Getting Ready
How to do it...
How it works...
6. Transition with Style
Introduction
What is Transition?
Animating a single element
Getting Ready
How to do it...
How it works...
Animating multiple elements
Getting Ready
How to do it...
How it works...
Using ease
Getting Ready
How to do it...
How it works...
Using tweening
Getting Ready
How to do it...
How it works...
There's more...
Using transition chaining
Getting Ready
How to do it...
How it works...
Using transition filter
Getting Ready
How to do it...
How it works...
See also
Listening to transitional events
Getting Ready
How to do it...
How it works...
Implementing a custom interpolator
Getting Ready
How to do it...
How it works...
Working with timer
Getting Ready
How to do it...
How it works...
See also
7. Getting into Shape
Introduction
What is SVG?
Vector
Scalability
Creating simple shapes
Getting Ready
How to do it...
How it works...
There's more...
D3 SVG shape generators
See also
Using a line generator
Getting Ready
How to do it...
How it works...
See also
Using line interpolation
Getting Ready
How to do it...
How it works...
Changing line tension
Getting Ready
How to do it...
How it works...
Using an area generator
Getting Ready
How to do it...
How it works...
Using area interpolation
Getting Ready
How to do it...
How it works...
There's more...
See also
Using an arc generator
Getting Ready
How to do it...
How it works...
Implementing arc transition
Getting Ready
How to do it...
How it works...
There's more...
See also
8. Chart Them Up
Introduction
Creating a line chart
Getting ready
How to do it...
How it works...
Creating an area chart
Getting ready
How to do it...
How it works...
Creating a scatter plot chart
Getting ready
How to do it...
How it works...
Creating a bubble chart
Getting ready
How to do it...
How it works...
Creating a bar chart
Getting ready
How to do it...
How it works...
See also
9. Lay Them Out
Introduction
Building a pie chart
Getting ready
How to do it...
How it works...
There's more...
See also
Building a stacked area chart
Getting ready
How to do it...
How it works...
There's more...
Expanded area chart
Streamgraph
See also
Building a treemap
Getting ready
How to do it...
How it works...
See also
Building a tree
Getting ready
How to do it...
How it works...
See also
Building an enclosure diagram
Getting ready
How to do it...
How it works...
See also
10. Interacting with your Visualization
Introduction
Interacting with mouse events
Getting ready
How to do it...
How it works...
There's more...
See also
Interacting with a multi-touch device
Getting ready
How to do it...
How it works...
There's more...
See also
Implementing zoom and pan behavior
Getting ready
How to do it...
How it works...
There's more...
See also
Implementing drag behavior
Getting ready
How to do it...
How it works...
There's more...
See also
11. Using Force
Introduction
Using gravity and charge
Getting ready
How to do it...
How it works...
Charge
Gravity
Friction
Setting up zero force layout
Setting up mutual repulsion
Setting up mutual attraction
Setting up gravity
Using gravity with repulsion
See also
Generating momentum
Getting ready
How to do it...
How it works...
See also
Setting the link constraint
Getting ready
How to do it...
How it works...
See also
Using force to assist visualization
Getting ready
How to do it...
How it works...
See also
Manipulating force
Getting ready
How to do it...
How it works...
See also
Building a force-directed graph
Getting ready
How to do it...
How it works...
See also
12. Know your Map
Introduction
Projecting the US map
GeoJSON
TopoJSON
Getting ready
How to do it...
How it works...
See also
Projecting the world map
Getting ready
How to do it...
How it works...
See also
Building a choropleth map
Getting ready
How to do it...
How it works...
See also
13. Test Drive your Visualization
Introduction
Introduction to unit testing
Getting Jasmine and setting up the test environment
Getting ready
How to do it...
How it works...
See also
Test driving your visualization – chart creation
How to do it...
How it works...
Test driving your visualization – SVG rendering
How to do it...
How it works...
Test driving your visualization – pixel-perfect bar rendering
How to do it...
How it works...
See also
A. Building Interactive Analytics in Minutes
Introduction
The crossfilter.js library
How to do it...
How it works...
There's more...
See also
Dimensional charting – dc.js
Getting ready
How to do it...
How it works...
There's more...
See also
Index
Data Visualization with D3.js Cookbook
Data Visualization with D3.js Cookbook
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: 1171013
Published by Packt Publishing Ltd.
Livery Place
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Birmingham B3 2PB, UK.
ISBN 978-1-78216-216-2
www.packtpub.com
Cover Image by Martin Bell (<[email protected]>)
Credits
Author
Nick Qi Zhu
Reviewers
Andrew Berls
Kevin Coughlin
Ismini Lourentzou
Pablo Navarro
Acquisition Editor
Martin Bell
Lead Technical Editor
Sweny M. Sukumaran
Technical Editors
Akashdeep Kundu
Proshonjit Mitra
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Project Coordinator
Kranti Berde
Proofreader
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Indexer
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Graphics
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Production Coordinator
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Cover Work
Aditi Gajjar
About the Author
Nick Qi Zhu is a professional programmer and visualization enthusiast with more than a decade of experience in software development. He is the author of dc.js—a popular multi-dimensional charting library built on D3. Currently he is having fun and learning as a lead consultant at ThoughtWorks.
I would like to thank the folks at Packt Publishing for supporting me through my journey, especially my editors Martin Bell and Sweny Sukumaran for polishing up my prose making this book much easier to read. And many thanks to my technical reviewers who had really made this book a much better one through their constructive criticism.
Finally to my wife Sherry for being supportive and incredibly patient with me through the last several months; without her support this book would not be possible.
About the Reviewers
Andrew Berls is a Ruby and JavaScript developer and lives in Santa Barbara, CA. He's been building websites ever since he learned what an HTML tag was, and has since fallen in love with full-stack application development. He was recently an intern at Causes.com, where he developed data dashboards using D3.js for visualizing social networks. Andrew is completing his degree in Computer Science at the University of California, Santa Barbara, and when he's not programming you can find him learning to cook (badly) or hiking up a mountain somewhere.
Kevin Coughlin holds both Computer Science and Economics degrees from The College of New Jersey. He is a JavaScript developer with over two years of industry experience. At work and at home, Kevin combines HTML5 standards with cutting-edge client- and server-side technologies such as Angular.js, Backbone.js, and Node.js to produce effective modern solutions for the open web.
Kevin regularly posts tutorials on emerging web technologies on his website http://kevintcoughlin.com.
Ismini Lourentzou has a Business Administration B.Sc. and a long-standing career in the banking sector, at National Bank of Greece. Learning programming in Java in her spare time and her continuous urge for novelty, drove her to pursue a second degree in Computer Science from Athens University of Economics and Business (AUEB). During her undergraduate studies, she has participated in the Knowledge Discovery and Data Mining Cup 2012, as a member of the Data and Web Mining Group of AUEB, headed by Professor Michalis Vazirgiannis, and worked on Automated Snippet Generation of Online Advertising
, which led to a publication at CIKM 2013. Meanwhile, she also participated at ImageClef 2013 as a member of the Information Retrieval Group of AUEB, headed by Professor Theodore Kalamboukis. Their participation was placed second in the Textual Ad-hoc image-based retrieval and fifth in Visual Ad-hoc image-based retrieval. Due to her love for research and programming, there was no doubt about changing her career orientation; she is currently a PhD student at University of Illinois at Urbana – Champaign, combining Machine Learning and Information Retrieval in developing intelligent information systems that will improve a user's productivity by decreasing the amount of manual involvement in searching, organizing, and understanding information from mainly textual sources. After completing her PhD, she hopes to continue working in research, and to be able to learn more and more each day.
I would like to thank my family for their support and help, for always being there to motivate me, my mother for taking care of me while my free time was nonexistent, my sister that is always protective of me, my father to being present during difficult situations. Moreover, I am thankful for my boyfriend for his everlasting patience and love and my friends for their advices and help during this process.
Pablo Navarro is a data visualization consultant from Chile. He earned his Master's degree in Applied Mathematics from École 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.
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Preface
D3.js is a JavaScript library designed to display digital data in a dynamic graphical form. It helps you to bring data to life using HTML, SVG, and CSS. D3 allows great control over the final visual result, and it is the hottest and most powerful web-based data visualization technology on the market today.
This book is packed with practical recipes to help you learn every aspect of data visualization with D3. It is designed to provide you with all the guidance you need to get to grips with data visualization with D3. With this book, you will create breathtaking data visualization with professional efficiency and precision with the help of practical recipes, illustrations, and code samples.
This cookbook starts off by touching upon data visualization and D3 basics before gradually taking you through a number of practical recipes covering a wide range of topics you need to know about D3.
You will learn the fundamental concepts of data visualization, functional JavaScript, and D3 fundamentals including element selection, data binding, animation, and SVG generation. You will also learn how to leverage more advanced techniques such as custom interpolators, custom tweening, timers, the layout manager, force manipulation, and so on. This book also provides a number of prebuilt chart recipes with ready-to-go sample code to help you bootstrap quickly.
What this book covers
Chapter 1, Getting Started with D3.js, is designed to get you up and running with D3.js. It covers the fundamental aspects such as what D3.js is and how to set up a typical D3.js data visualization environment.
Chapter 2, Be Selective, teaches you one of the most fundamental tasks you need to perform with any data visualization project using D3—selection. Selection helps you target certain visual elements on the page.
Chapter 3, Dealing with Data, explores the most essential question in any data visualization project—how data can be represented both in programming constructs, and its visual metaphor.
Chapter 4, Tipping the Scales, deals with a very important subdomain of data visualization. As a data visualization developer, one key task that you need to perform over and over again is to map values in your data domain to visual domain, which is the focus of this chapter.
Chapter 5, Playing with Axes, explores the usage of axes' component and some related techniques commonly used in Cartesian coordinate system based visualization.
Chapter 6, Transition with Style, deals with transitions. A picture is worth a thousand words,
this age-old wisdom is arguably one of the most important cornerstones of data visualization. This chapter covers transition and animation support provided by D3 library.
Chapter 7, Getting into Shape, deals with Scalable Vector Graphics (SVG), which is a mature World Wide Web Consortium (W3C) standard widely used in visualization projects.
Chapter 8, Chart Them Up, explores one of the oldest and well trusted companions in data visualization—charts. Charts are well defined and well understood graphical representations of data.
Chapter 9, Lay Them Out, focuses on D3 Layout. D3 layouts are algorithms that calculate and generate placement information for a group of elements capable of generating some of the most complex and interesting visualization.
Chapter 10, Interacting with your Visualization, focuses on D3 human visualization interaction support, or in other words how to add computational steering capability to your visualization.
Chapter 11, Using Force, covers one of the most fascinating aspects of D3—Force. Force simulation is one of the most awe-inspiring techniques that you can add to your visualization.
Chapter 12, Know your Map, introduces basic D3 cartographic visualization techniques and how to implement a fully functional geographic visualization in D3.
Chapter 13, Test Drive your Visualization, teaches you to implement your visualization like a pro with Test Driven Development (TDD).
Appendix A, Building Interactive Analytics in Minutes serves as an introduction to Crossfilter.js and dc.js on interactive dimensional charting.
What you need for this book
A text editor: To edit and create HTML, CSS, and JavaScript files
A web browser: A modern web browser (Firefox 3, IE 9, Chrome, Safari 3.2 and above)
A local HTTP server: You need a local HTTP server to host data file for some of the more advanced recipes in this book. We will cover how to set up a Node or Python based simple HTTP server in the first chapter.
Git client (Optional): If you would like to check out the recipe source code directly from our Git repository, you need a Git client installed on your computer.
Who this book is for
If you are a developer or an analyst familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can also serve as a desktop quick-reference guide for experienced data visualization developers.
Conventions
In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.
Code words in text are shown as follows: We can select HTML elements through the use of the d3.select function.
A block of code is set as follows:
instance.description = function (d) {
if (!arguments.length) d;
description = d;
return instance;
};
When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
instance.description = function (d) {
if (!arguments.length) d;
description = d;
return instance;
};
Any command-line input or output is written as follows:
> npm install http-server –g
New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: clicking the Next button moves you to the next screen
.
Note
Warnings or important notes appear in a box like this.
Tip
Tips and tricks appear like this.
Reader feedback
Feedback from our readers is always welcome. Let us know what you think about this book—what you liked or may have disliked. Reader feedback is important for us to develop titles that you really get the most out of.
To send us general feedback, simply send an e-mail to <[email protected]>, and mention the book title via the subject of your message.
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Downloading the example code
You can download the example code files for all Packt books you have purchased from your account at http://www.packtpub.com. If you purchased this book elsewhere, you can visit http://www.packtpub.com/support and register to have the files e-mailed directly to you.
Errata
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Questions
You can contact us at <[email protected]> if you are having a problem with any aspect of the book, and we will do our best to address it.
Chapter 1. Getting Started with D3.js
In this chapter we will cover:
Setting up a simple D3 development environment
Setting up an NPM-based development environment
Understanding D3-style JavaScript
Introduction
This chapter is designed to get you up and running with D3.js, covering fundamental aspects, such as what D3.js is, and how to set up a typical D3.js data visualization environment. One particular section is also devoted in covering some lesser known areas of JavaScript that D3.js relies heavily on.
What is D3? D3 refers to Data-Driven Documents, and according to the official D3 Wiki:
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3's emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
D3 Wiki (2013, August)
In a sense, D3 is a specialized JavaScript library that allows you to create amazing data visualizations using a simpler (data driven) approach by leveraging existing web standards. D3.js was created by Mike Bostock (http://bost.ocks.org/mike/) and superseded his previous work on a different JavaScript data visualization library called Protovis. For more information on how D3 was created and on the theory that influenced both Protovis and D3.js, please check out links in the following information box. Here in this book we will focus more on how to use D3.js to power your visualization. Initially, some aspects of D3 may be a bit confusing due to its different approach to data visualization using JavaScript. I hope that over the course of this book, a large number of topics, both basic and advanced, will make you comfortable and effective with D3. Once properly understood, D3 can improve your productivity and expressiveness with data visualizations by orders of magnitude.
Note
For more formal introduction to the idea behind D3 see the Declarative Language Design for Interactive Visualization paper published by Mike Bostock on IEEE InfoVis 2010 http://vis.stanford.edu/papers/protovis-design.
If you are interested to know how D3 came about, I recommend you to check out the D3: Data-Driven Document paper published by Mike Bostock on IEEE InfoVis 2011 at http://vis.stanford.edu/papers/d3.
Protovis, the predecessor of D3.js, also created by Mike Bostock and Jeff Heer of the Stanford Visualization Group can be found at http://mbostock.github.io/protovis/.
Setting