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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 reusable charts

A chart is a visual representation of a dataset. As datasets grow in complexity and number of elements, we might want to encapsulate the chart in a reusable piece of code to share it and use it in other projects. The success of the reusability of the chart depends on the choices made during the design process.

We will follow the proposal given in the article Towards Reusable Charts by Mike Bostock with some modifications. Charts created with this model will have the following attributes:

  • Configurable: The chart appearance and behavior can be modified without having to change the code of the chart. The chart should expose an API that allows customization.
  • Repeatable: A chart can be rendered in a selection that contains several elements, displaying independent visualizations in each node. The update process and the variables associated to the data items must be independent as well.
  • Composable: A consequence of the previous attributes is that a chart can have inner charts...
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