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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.

Product type Paperback

Published in Oct 2013

Publisher Packt

ISBN-13 9781782162162

Length 338 pages

Edition 1st Edition

Languages

JavaScript

Tools

D3

Concepts

Data Visualization

Author (1):

Nick Zhu

View More author details

Table of Contents (16) Chapters

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

The ability to project and correlate data points to geographic regions is crucial in many types of visualizations. Geographic visualization is a complex topic with many competing standards emerging and maturing for today's web technology. D3 provides few different ways to visualize geographic and cartographic data. In this chapter we will introduce basic D3 cartographic visualization techniques and how to implement a fully-functional choropleth map (a special purpose colored map) in D3.

The rest of the chapter is locked

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Authors (1)

Nick Zhu

Nick Zhu

Nick Zhu is a professional programmer and data engineer with more than a decade experience in software development, big data, and machine learning. Currently, he is one of the founders and CTO of Yroo.com - meta search engine for online shopping. He is also the creator of dc.js—a popular multidimensional charting library built on D3.

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