Data Visualization with D3 4.x Cookbook, 2/e (Paperback)

Key Features

• Learn about D3 4.0 from the inside out and master its new features
• Utilize D3 packages to generate graphs, manipulate data, and create beautiful presentations
• Solve real-world visualization problems with the help of practical recipes

Book Description

This book gives you all the guidance you need to start creating modern data visualizations with D3 4.x that take advantage of the latest capabilities of JavaScript.

The book starts with the basic D3 structure and building blocks and quickly moves on to writing idiomatic D3-style JavaScript code. You will learn how to work with selection to target certain visual elements on the page, then you will see techniques to represent data both in programming constructs and its visual metaphor. You will learn how map values in your data domain to the visual domain using scales, and use the various shape functions supported by D3 to create SVG shapes in visualizations.

Moving on, you ll see how to use and customize various D3 axes and master transition to add bells and whistles to otherwise dry visualizations. You ll also learn to work with charts, hierarchy, graphs, and build interactive visualizations. Next you ll work with Force, which is one of the most awe-inspiring techniques you can add to your visualizations, and you ll implement a fully functional Choropleth map (a special purpose colored map) in D3.

Finally, you ll learn to unit test data visualization code and test-driven development in a visualization project so you know how to produce high-quality D3 code.

What you will learn

• Get a solid understanding of the D3 fundamentals and idioms
• Use D3 to load, manipulate, and map data to any kind of visual representation on the web
• Create data-driven dynamic visualizations that update as the data does
• Leverage the various modules provided by D3 to create sophisticated, dynamic, and interactive charts and graphics
• Create data-driven transitions and animations within your visualizations
• Understand and leverage more advanced concepts such as force, touch, and Geo data visualizations

About the Author

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.

Table of Contents

1. Getting Started with D3.js
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
14. Building Interactive Analytics in Minutes