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D3.js 4.x Data Visualization

You're reading from   D3.js 4.x Data Visualization Learn to visualize your data with JavaScript

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Length 308 pages
Edition 3rd Edition
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Authors (2):
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Aendrew Rininsland Aendrew Rininsland
Author Profile Icon Aendrew Rininsland
Aendrew Rininsland
Swizec Teller Swizec Teller
Author Profile Icon Swizec Teller
Swizec Teller
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with D3, ES2017, and Node.js 2. A Primer on DOM, SVG, and CSS FREE CHAPTER 3. Shape Primitives of D3 4. Making Data Useful 5. Defining the User Experience - Animation and Interaction 6. Hierarchical Layouts of D3 7. The Other Layouts 8. D3 on the Server with Canvas, Koa 2, and Node.js 9. Having Confidence in Your Visualizations 10. Designing Good Data Visualizations

Proximity detection and the Voronoi geom


A Voronoi geom (found in the d3-voronoi package) chops a geographic shape into discrete regions around points, such that no section overlaps and the entirety of the area is covered. Anything within a particular point's section is closer to that point than any other point. It's effectively another layout, but it's used more for utility than for display -- for instance, a grid of Voronoi regions is often used to increase the mouseover area of data in a chart so that your cursor will always be highlighting the nearest point. We will use the Voronoi geom to figure out what the closest major airport is to your current location, which we'll supply via the HTML5 Location API.

Replace the last line we wrote with the following:

async function renderView(ctx, next) {
if (ctx.method === 'GET') {
ctx.body =
&grave;<!doctype html>
<html>
  <head>
    <title>Find your nearest airport!</title>
  </head>
  <body>
    &lt...
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