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Learning D3.js 5 Mapping

You're reading from   Learning D3.js 5 Mapping Build cutting-edge maps and visualizations with JavaScript

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781787280175
Length 298 pages
Edition 2nd Edition
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Authors (3):
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Thomas Newton Thomas Newton
Author Profile Icon Thomas Newton
Thomas Newton
Oscar Villarreal Oscar Villarreal
Author Profile Icon Oscar Villarreal
Oscar Villarreal
Lars Verspohl Lars Verspohl
Author Profile Icon Lars Verspohl
Lars Verspohl
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Toc

Table of Contents (13) Chapters Close

Preface 1. Gathering Your Cartography Toolbox FREE CHAPTER 2. Creating Images from Simple Text 3. Producing Graphics from Data - the Foundations of D3 4. Creating a Map 5. Click-Click Boom! Applying Interactivity to Your Map 6. Finding and Working with Geographic Data 7. Testing 8. Drawing with Canvas and D3 9. Mapping with Canvas and D3 10. Adding Interactivity to Your Canvas Map 11. Shaping Maps with Data - Hexbin Maps 12. Publishing Your Visualization with GitHub Pages

Creating resilient visualization code

We want to make sure that our visualization can react to changing data, with minimal effort from the program that calls our code. One way to test different permutations of data and ensure that the visualization reacts accordingly is to randomly create example data, call the visualization code a number of times, and witness the result. These operations are handled in the factories directory. Let's take a look at the viz_factory.js file as an example:

(function() { 
    var viz = d3.charts.viz(); 

Create a variable to store our function with getters and setters as closures. In this example, we will use an anonymous function as a wrapper to execute the code. This prevents conflicts with other JavaScript code and ensures that our visualization will work properly in a protected context:

    var rand = function() { 
      return Math.floor...
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