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Babu Ravaji - Social data visualization with HTML5 and JavaScript

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Babu Ravaji Social data visualization with HTML5 and JavaScript
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This book is a fast-paced guide full of step-by-step instructions that teach you how to visualize social data using HTML5 and JavaScript. This book is for developers who are excited about data and who want to share that excitement with others. Developers who are interested in the data which can be extracted from social networks will also find this book hugely beneficial. Readers should have a working knowledge of both JavaScript and HTML

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Social Data Visualization with HTML5 and JavaScript

Social Data Visualization with HTML5 and JavaScript

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: September 2013

Production Reference: 1190913

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78216-654-2

www.packtpub.com

Cover Image by Ravaji Babu (<>)

Credits

Author

Simon Timms

Reviewers

Jonathan Petitcolas

Saurabh Saxena

Acquisition Editor

James Jones

Commissioning Editor

Mohammed Fahad

Technical Editors

Dennis John

Gaurav Thingalaya

Project Coordinator

Amigya Khurana

Proofreaders

Amy Guest

Simran Bhogal

Ameesha Green

Indexer

Tejal R. Soni

Graphics

Ronak Dhruv

Production Coordinator

Adonia Jones

Cover Work

Adonia Jones

About the Author

Simon Timms is a developer who works in the oil and gas industry in Calgary, Alberta. He has a BSc in Computing Science from the University of Alberta and a Masters from Athabasca University. He is interested in distributed systems, visualization, and the acquisition of ice-cream.

This is his first book, but he blogs frequently on diverse topics such as code contracts and cloud computing at blog.simontimms.com. He is involved in the local .NET and JavaScript community, and speaks frequently at conferences.

I would like to thank the countless open source developers who have made books like this possible through their selfless creation of tools and technologies , such as d3.js and node.js. These are the thinkers, the makers, and the heroes who make the future possible.

Most of all, I would like to thank my wife and son for their undying support while I spent my evenings writing. Without them, I would be without purpose.

About the Reviewers

Jonathan Petitcolas is a web developer specializing in Symfony2 and node.js development. He graduated from the International Institute of Information Technologies (also known as SUPINFO). He spent his last year of study teaching web technologies (and also C/C++) at several French campuses, and also at the Chinese Shandong University of Science and Technology (SUST).

He contributes regularly to several open-source projects at blogs such as Open Source Aficionado. He also shares all his experience and discoveries about programming through his blog (www.jonathan-petitcolas.com), or through social networks (@Sethpolma on Twitter).

Saurabh Saxena is working in a startup (Banyan learning) as Web Developer and Data Analyst.

He was awarded with Hindustan Pratibha Samman in 2008. He is a certified ethical hacker and the winner of the Evernote programming competition on Interviewstreet.

He holds a rank among the top 100 programmers on Hacker Rank in India. He loves to experiment with technologies such as JavaScript, HTML5, CSS3, Rails, and node.js. He is an open source contributor to Spree Commerce. He is used to spending the rest of his time on Udacity and Code School to learn about new technologies and tools.

He blogs at saurabhhack123.blogspot.in and has a website www.isocialcode.com.

I would like thank my mom and dad who continually gave me their support when I needed it the most.

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Preface

The world is an interesting place, about this there can be no doubt. We experience the world through our senses, which gather data to be processed by our brains. Frequently the world is disordered, requiring us to think long and hard to get meaning out of things. To ease this process, data can be transformed into other forms that are simpler to understand.

This book is about molding data into a form which is more understandable. It is about taking some of the richest data sources of our timesocial networksand turning their vast array of data into an understandable format. To that effect, we make use of the latest in HTML and JavaScript.

What this book covers

, Visualizing Data , introduces us to a world full of ever growing datasets. It also discusses how this river of data can be navigated using visualizations as our canoe.

, JavaScript and HTML5 for Visualizations , looks at new features in HTML and JavaScript that present opportunities for visualizing data. It discusses both canvas and Scalable Vector Graphics.

, OAuth , examines the often confusing OAuth technology and shows how it can be used to delegate authority to our application. This is because much of the data on social media sites is private and there might be times when we need to get this data.

, JavaScript for Visualization , looks at Raphal.js and d3.js which are great JavaScript libraries that can reduce the pain involved in building visualizations by hand, which is otherwise a time-consuming and error-prone task.

, Twitter , looks at how to retrieve data from Twitter and use it to build a visualization.

, Stack Overflow , looks at how to retrieve the data API of the ever popular Stack Overflow, which presents some tantalizing opportunities for visualization that can be used to create an interactive graph.

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