Scott Murray - Interactive Data Visualization for the Web
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Create and publish your own interactive data visualization projects on the Webeven if you have little or no experience with data visualization or web development. Its easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, youll expand your web programming skills, using tools such as HTML and JavaScript.
This step-by-step guide is ideal whether youre a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.
- Learn HTML, CSS, JavaScript, and SVG basics
- Dynamically generate web page elements from your dataand choose visual encoding rules to style them
- Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layouts
- Use smooth, animated transitions to show changes in your data
- Introduce interactivity to help users explore data through different views
- Create customized geographic maps with data
- Explore hands-on with downloadable code and over 100 examples
Scott Murray: author's other books
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Supplemental files and examples for this book can be found at http://examples.oreilly.com/0636920026938/. 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 .
This is a book about programming data visualizations for nonprogrammers. If youre an artist or graphic designer with visual skills but no prior experience working with data or code, this book is for you. If youre a journalist or researcher with lots of data but no prior experience working with visuals or code, this book is for you, too.
This book will introduce you to D3, a JavaScript-based tool for loading data into a web page and generating visuals from that data. I assume that you have little or no programming experience. Or, perhaps you have programmed before, but D3 and data visualization are bringing you to JavaScript for the first time, and youve heard bad things about it. Well, JavaScript is a little weird, but its not as bad as youve heard, and everything is going to be all right. Please sit down and make yourself comfortable.
This book began as a series of tutorials posted on my website. At the time (January 2012), there wasnt much information on D3 available that was accessible to beginners. Very quickly, I was getting hundreds, then thousands of page views a dayevidence that interest in the field generally (and D3 specifically) was growing like gangbusters. If youve read the tutorials, portions of the book will feel familiar, but there is a lot of new material here, including many more examples, sneaky tips, and warnings of things to avoid. Also, the book contains 78 percent more bad jokes.
Data visualization is an interdisciplinary field, which is just one reason its impossible to document the breadth of skills needed in a single book. Fortunately, because the field is exploding in popularity, there are many new titles to choose from, each of which complements this one.
On design process:
- Designing Data Visualizations: Intentional Communication from Data to Display by Noah Iliinsky and Julie Steele. OReilly Media, 2011.
- Data Visualization: A Successful Design Process by Andy Kirk. Packt Publishing, 2012.
On visual design principles and techniques:
- The Functional Art: An Introduction to Information Graphics and Visualization by Alberto Cairo. New Riders, 2012.
- Information Dashboard Design: The Effective Visual Communication of Data by Stephen Few. OReilly Media, 2006.
On the practicalities of working with data:
- Bad Data Handbook: Mapping the World of Data Problems by Q. Ethan McCallum. OReilly Media, 2012.
- Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists by Philipp K. Janert. OReilly Media, 2010.
- Python for Data Analysis: Agile Tools for Real World Data by Wes McKinney. OReilly Media, 2012.
The following typographical conventions are used in this book:
Constant width Used 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 bold Shows commands or other text that should be typed literally by the user. Constant width italic Shows text that should be replaced with user-supplied values or by values determined by context.This icon signifies a tip, suggestion, or general note.
This icon indicates a warning or caution.
This book is here to help you get your job done. In general, if this book includes code examples, 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: Interactive Data Visualizationfor the Web by Scott Murray (OReilly). Copyright 2013 Scott Murray, 978-1-449-33973-9.
If you feel your use of code examples falls outside fair use or the permission given above, feel free to contact us at .
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