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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

Deploying to Heroku


A server app isn't very useful without a server.

Luckily, Heroku provides free plans for limited use and is super easy to deploy to. At the moment, they allow 550 (plus an additional 450 if you verify your account with a credit card) dyno hours distributed between all of your servers, with machines down cycling when they aren't active. In effect, this means that your server generally won't ever run out of uptime hours, provided it isn't being hit with traffic constantly.

Start by creating an account at http://www.heroku.com and install the Heroku Toolbelt fromhttp://toolbelt.heroku.com. Once you've done so, go to the root of your project folder and type the following:

$ heroku create

This will create a new Git remote and set up your app at a random URL likehttps://calm-dusk-16214.herokuapp.com/.

Next, create a new file named Procfile. Heroku looks at this when you deploy to know how to run your app (otherwise it defaults to node start, but we use that to launch our Webpack...

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