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D3.js By Example
Create attractive web-based data visualizations using
the amazing JavaScript library D3.js
Michael Heydt
BIRMINGHAM - MUMBAI
D3.js By Example
Copyright © 2015 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval
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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
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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: December 2015
Production reference: 1181215
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78528-008-5
www.packtpub.com
Credits
Author
Michael Heydt
Reviewers
Patrick Cason
Pablo Núñez Navarro
William Sankey
Commissioning Editor
Veena Pagare
Acquisition Editors
Harsha Bharwani
Hemal Desai
Content Development Editor
Merwyn D'souza
Technical Editor
Parag Topre
Copy Editor
Sonia Mathur
Indexer
Monica Ajmera Mehta
Graphics
Disha Haria
Production Coordinator
Conidon Miranda
Cover Work
Conidon Miranda
Project Coordinator
Nikhil Nair
Proofreader
Safis Editing
About the Author
Michael Heydt
is an independent consultant, programmer, educator, and trainer.
He has a passion for learning and sharing his knowledge of new technologies.
Michael has worked in multiple industry verticals, including media, finance, energy,
and healthcare. Over the last decade, he worked extensively with web, cloud, and
mobile technologies and managed user experience, interface design, and data
visualization for major consulting firms and their clients. Michael's current company,
Seamless Thingies (
www.seamlessthingies.tech
), focuses on IoT development and
connecting everything with everything.
He is the author of numerous articles, papers, and books, such as
Instant Lucene.
NET, Learning Pandas,
and
Mastering Pandas for Finance,
all by Packt Publishing, on
technology. Michael is also a common speaker at .NET user groups and various
mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.
He can be reached through his website e-mails,
mike@heydt.org
and
mike@
seamlessthingies.tech
and on Twitter at
@mikeheydt
.
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