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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

One of the most fundamental tasks that you will need to perform with any data visualization project using D3 is selection. Selection helps you target certain visual elements on the page. If you are already familiar with the W3C-standardized CSS selector or other similar selector APIs provided by popular JavaScript libraries, such as jQuery and Zepto.js, then you will find yourself right at home with D3's selection API. Don't worry if you haven't used the selector API before; this chapter is designed to cover this topic in steps with the help of some very visual recipes. It will cover pretty much all common use cases for your data visualization needs.

Introducing selection

Selector support is standardized by W3C, so all modern web browsers have built-in support for the selector API. However, the basic W3C selector API has limitations when it comes to Web development, especially in the data visualization realm. The standard W3C selector API provides only the selector...

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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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