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Data Visualization with D3 4.x Cookbook

You're reading from   Data Visualization with D3 4.x Cookbook Visualization Strategies for Tackling Dirty Data

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786468253
Length 380 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Nick Zhu Nick Zhu
Author Profile Icon Nick Zhu
Nick Zhu
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Table of Contents (15) Chapters Close

Preface 1. Getting Started with D3.js FREE CHAPTER 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with Your Visualization 11. Using Force 12. Knowing Your Map 13. Test Drive Your Visualization Appendix. Building Interactive Analytics in Minutes

Test driving your visualization - SVG rendering

Now we have the basic skeleton of our bar chart object created, and we feel that we are

ready to try to render something, so in this second iteration we will try to generate the svg:svg element.

How to do it...

Rendering the svg:svg element should not only simply add the svg:svg element to the HTML body, but also translate the width and height setting on our chart object to proper SVG attributes. Here is how we express our expectation in our test cases:

describe('.render', function () { 
        describe('svg', function () { 
            it('should generate svg', function () { 
                chart.render(); 
                expect(svg()).not.toBeEmpty(); 
     ...
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