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D3.js 4.x Data Visualization

You're reading from   D3.js 4.x Data Visualization Learn to visualize your data with JavaScript

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Length 308 pages
Edition 3rd Edition
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Aendrew Rininsland Aendrew Rininsland
Author Profile Icon Aendrew Rininsland
Aendrew Rininsland
Swizec Teller Swizec Teller
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Swizec Teller
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with D3, ES2017, and Node.js FREE CHAPTER 2. A Primer on DOM, SVG, and CSS 3. Shape Primitives of D3 4. Making Data Useful 5. Defining the User Experience - Animation and Interaction 6. Hierarchical Layouts of D3 7. The Other Layouts 8. D3 on the Server with Canvas, Koa 2, and Node.js 9. Having Confidence in Your Visualizations 10. Designing Good Data Visualizations

What exactly did we do here?

The key is in the three for...each statements that we used. One loops through the array of table header strings, and appends a table cell (td) element with each value into the thead row. There are then two nested .forEach() statements that do the same for each row in the body. We technically only have one row in the body right now, so probably didn't need that messy double for...each, but now all we have to do to add another row to the table is simply append another data array to the rows variable. We'll talk more about Array.prototype.forEach and other array functions in the next chapter.

This might seem like a lot of work for such a simple table, but the advantages of doing it this way are huge. Instead of wasting a bunch of time typing out a totally static table that you'll never use again, you've effectively created a basic...

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