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Data Visualization with D3.js Cookbook

You're reading from   Data Visualization with D3.js Cookbook Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Length 338 pages
Edition 1st Edition
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Author (1):
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Nick Zhu Nick Zhu
Author Profile Icon Nick Zhu
Nick Zhu
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with D3.js FREE CHAPTER 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with your Visualization 11. Using Force 12. Know your Map 13. Test Drive your Visualization A. Building Interactive Analytics in Minutes Index

Introduction

In this chapter, we are going to explore the most essential question in any data visualization project, how data can be represented both in programming constructs, and its visual metaphor. Before we start on this topic, some discussion on what data visualization is is necessary. In order to understand what data visualization is, first we need to understand the difference between data and information.

Data are raw facts. The word raw indicates that the facts have not yet been processed to reveal their meaning...Information is the result of processing raw data to reveal its meaning.

(Rob P., S. Morris, and Coronel C. 2009)

This is how data and information are traditionally defined in the digital information world. However, data visualization provides a much richer interpretation of this definition since information is no longer the mere result of processed raw facts but rather a visual metaphor of the facts. As suggested by Manuel Lima in his Information Visualization Manifesto...

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