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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 in Amazon S3


As an alternative to publishing our pages using GitHub Pages, we can also serve static sites using Amazon S2. Amazon S3 is a data storage service provided by Amazon. It can be used to store files of any kind, and in particular, to store and serve static websites. Amazon S3 stores data with 99.99 percent availability and scales well in terms of storage capacity, number of requests, and users. It also provides fine-grained control access, allowing you to store sensible data.

The pricing depends on how much data you store and how many access requests are made, but it starts at less than 0.1 USD per GB per month, and there is a free tier available to use the platform at no charge to store up to 5 GB (and 20,000 requests per month). In this section, we will assume that you have an Amazon Web Services account. If you don't, you can sign up at http://aws.amazon.com/ and create an account.

In Amazon S3, the files are stored in buckets. A bucket is a container...

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