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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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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

Using the barcode chart

In this section, we will use the barcode chart with a more complex dataset and learn how to use the chart that is integrated within a table. Imagine that we have an application that monitors the mention of stocks on Twitter. One element of this fictional application might be a table that displays the aggregated information about the stock's mentions and the barcode chart with the mentions of the last day. We will assume that the data is already loaded on the page. Each data item will have the name of the stock, an array with mentions, and the average of mentions by hour. Refer to the following code:

var data = [
    {name: 'AAPL', mentions: [...], byHour: 34.3},
    {name: 'MSFT', mentions: [...], byHour: 11.1},
    {name: 'GOOG', mentions: [...], byHour: 19.2},
    {name: 'NFLX', mentions: [...], byHour:  6.7}
];

The mentions array will have objects with the date attribute. These items can have other attributes as well...

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