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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

Creating a layout algorithm

Every chart makes assumptions about the kind and structure of the data that they can display. A scatter plot needs pairs of quantitative values, a bar chart requires categories with a quantitative dimension, and a tree map needs nested objects. To use a chart, the user will need to group, split, or nest the original dataset to fit the chart requirements. Functions that perform these transformations are called layout algorithms. D3 already provides a good set of layouts, from the simple pie layout to the more complex force layout. In this section, we will lean how to implement a layout algorithm, and we will use it to create a simple visualization using the barcode dataset.

The radial layout

The array with dates used in the barcode example can be visualized in several ways. The barcode chart represents every data item as a small bar in a time interval. Another useful way to display a series of events is to group them in intervals. The most common among these kind...

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