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Data Visualization with D3.js Cookbook

You're reading from   Data Visualization with D3.js Cookbook Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Length 338 pages
Edition 1st 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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Toc

Table of Contents (16) 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. Know your Map 13. Test Drive your Visualization A. Building Interactive Analytics in Minutes Index

Using a line generator


D3 line generator is probably one of the most versatile generators. Though it is called a "line" generator, it has little to do with the svg:line element. In contrast, it is implemented using the svg:path element. Like svg:path, D3 line generator is so flexible that you can effectively draw any shape using line alone, however, to make your life easier, D3 also provides other more specialized shape generators, which will be covered in later recipes in this chapter. In this recipe, we will draw multiple data-driven lines using the d3.svg.line generator.

Getting Ready

Open your local copy of the following file in your web browser:

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter7/line.html

How to do it...

Now, let's see the line generator in action:

<script type="text/javascript">
    var width = 500,
        height = 500,
        margin = 50,
        x = d3.scale.linear() // <-A
            .domain([0, 10])
            .range([margin, width - margin...
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