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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

Creating the package contents


We will create a small package containing a heat map chart and a layout function. We begin by choosing a name for our project, creating an empty directory, and initializing the repository. The name of our package will be Windmill. Once we have created the directory, we can create the initial content. We will organize the code in components and implement the chart and the helper functions in separate files. The source code will be organized in folders, one for each component. Later, we will concatenate the files in the correct order to generate the windmill.js file, containing all the components of the package:

src/
   chart/
      chart.js
      heatmap.js
   layout/
      layout.js
      matrix.js
   svg/
      svg.js
      transform.js
   start.js
   end.js

We add the version attribute and indicate that we will follow the Semantic Version specification:

!function() {
    var windmill = {version: '0.1.0'}; // semver
    // Charts
    windmill.chart = {};
    windmill...
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