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Mastering D3.js

You're reading from   Mastering D3.js Bring your data to life by creating and deploying complex data visualizations with D3.js

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Product type Paperback
Published in Aug 2014
Publisher Packt
ISBN-13 9781783286270
Length 352 pages
Edition 1st Edition
Tools
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Author (1):
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Pablo NAVARRO CASTILLO Pablo NAVARRO CASTILLO
Author Profile Icon Pablo NAVARRO CASTILLO
Pablo NAVARRO CASTILLO
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Visualization FREE CHAPTER 2. Reusable Charts 3. Creating Visualizations without SVG 4. Creating a Color Picker with D3 5. Creating User Interface Elements 6. Interaction between Charts 7. Creating a Charting Package 8. Data-driven Applications 9. Creating a Dashboard 10. Creating Maps 11. Creating Advanced Maps 12. Creating a Real-time Application Index

Hosting the visualization with GitHub Pages


In the previous section, we created a web application using Jekyll, Backbone, and D3. With Jekyll, we created a template for the main page and included the minified JavaScript libraries and styles. With Jekyll, we can compile the markup files to generate a static website or serve the site without generating a static version using jekyll serve. In this section, we will publish our site using GitHub Pages, a hosting service for personal and project sites.

GitHub Pages is a service from GitHub that provides hosting for static websites created in Jekyll or HTML. To publish our Jekyll site, we need to create a branch named gh-pages and push the branch to GitHub. If this branch is a Jekyll project or contains an index.html file, GitHub will serve the content of this branch as a static site. We can create the branch from the master branch:

$ git checkout -b gh-pages

Next, push the branch to our origin, the GitHub endpoint:

$ git push -u origin gh-pages...
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