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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

Using a line generator


D3 line generator is probably one of the most versatile generators. Although 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. Similar to 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 take a look at the following line generator in action:

<script type="text/javascript"> 
    var width = 500, 
        height = 500, 
        margin = 50, 
        x = d3.scaleLinear() // <-A 
          ...
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