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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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Aendrew Rininsland Aendrew Rininsland
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Aendrew Rininsland
Swizec Teller Swizec Teller
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with D3, ES2017, and Node.js FREE CHAPTER 2. A Primer on DOM, SVG, and CSS 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

Histograms, Herstograms, Yourstograms, and Mystograms


Another simple layout is the histogram, which simplifies creating bar charts when they're in a continuous series. We can also use it for binning a series of values so that we don't have to do as many gymnastics with Array.prototype.reduce and Array.prototype.map.

In this instance, we will create an ordinal scale of episodes and seasons and use that to create a histogram. In doing so, we're going to use a new dataset, which I've included in the data/ directory, GoT-deaths-by-season.json. This includes all the deaths in the show in the following format:

    { 
      "name": "Will", 
      "role": "Ranger of the Night's Watch", 
      "death": { 
        "season": 1, 
        "episode": 1 
      }, 
      "execution": "Beheaded for desertion by Ned Stark", 
      "likelihoodOfReturn": "0%" 
    },

The only data we're really concerned with here is the death object, which we'll use to create an ordinal scale.

Start by resetting main.js by commenting...

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