Book Image

Mastering SVG

By : Rob Larsen
Book Image

Mastering SVG

By: Rob Larsen

Overview of this book

SVG is the most powerful image format in use on the web. In addition to producing resolution-independent images for today's multi-device world, SVG allows you to create animations and visualizations to add to your sites and applications. The simplicity of cross-platform markup, mixed with familiar modern web languages, such as CSS and JavaScript, creates a winning combination for designers and developers alike. In this book, you will learn how to author an SVG document using common SVG features, such as elements and attributes, and serve SVG on the web using simple configuration tips for common web servers. You will also use SVG elements and images in HTML documents. Further, you will use SVG images for a variety of common tasks, such as manipulating SVG elements, adding animations using CSS, mastering the basic JavaScript SVG (API) using Document Object Model (DOM) methods, and interfacing SVG with common libraries and frameworks, such as React, jQuery, and Angular. You will then build an understanding of the Snap.svg and SVG.js APIs, along with the basics of D3, and take a look at how to implement interesting visualizations using the library. By the end of the book, you will have mastered creating animations with SVG.
Table of Contents (17 chapters)
Title Page
PacktPub.com
Contributors
Preface
Index

Implementing a donut chart with D3


This next sample illustrates another basic data visualization: in this case, a donut chart. Slightly more complicated than a pie chart, this visualization illustrates some new features of D3. When complete, the visualization will look like the following screenshot.

 

 

 

 

 

 

It represents the distribution of individual comic books (referenced by title and issue number) among the top 50 comic book sales of all time (public sales, at the time of writing). There are a few comics that dominate lists like that and this chart will show which ones dominate the most:

 

The data looks like the following CSV:

title,numbers
"Action Comics #1",18
"All Star #8", 1
"Amazing Fantasy #15",4
"Batman #1",2
"Captain America Comics #1", 1
"Detective Comics #27",13
"Flash Comics #1", 2
"Incredible Hulk #1", 2
"Marvel Comics #1", 1
"Sensation Comics #1", 1
"Tales of Suspense #39", 1
"X-Men #1", 3

The HTML file is very simple. It includes, once again, Raleway, Bootstrap, d3-fetch, and...