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Data Visualization with D3 4.x Cookbook

You're reading from Data Visualization with D3 4.x Cookbook Visualization Strategies for Tackling Dirty Data

Product type Paperback

Published in Feb 2017

Publisher Packt

ISBN-13 9781786468253

Length 380 pages

Edition 2nd Edition

Languages

JavaScript

Tools

D3

Concepts

Data Visualization

Author (1):

Nick Zhu

View More author details

Table of Contents (15) 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. Knowing Your Map

13. Test Drive Your Visualization

Appendix. Building Interactive Analytics in Minutes

Introduction

D3 was initially released without the built-in support of the Axis component. This situation did not last long since axes are the universal building blocks in many Cartesian coordinate system-based visualization projects and one of the most tedious tasks to build from scratch by hand. It quickly became clear that D3 needs to provide built-in support for axes. Therefore, it was introduced quite early on and is continuously being enhanced ever since it was released. In this chapter, we will explore the usage of the Axis component and some related techniques.

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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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