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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 line interpolation


By default, the D3 line generator uses linear interpolation mode, however, D3 supports a number of different line interpolation modes. Line interpolation determines how data points will be connected, for example, by a straight line (linear interpolation) or a curved line (cubic interpolation). In this recipe, we will show you how these interpolation modes can be set along with their effects.

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-interpolation.html

This recipe is built on top of what we have done in the previous recipe, so, if you are not yet familiar with basic line generator functions, please review the previous recipe first before proceeding.

How to do it...

Now, let's see how different line interpolation modes can be used:

    var width = 500,
        height = 500,
        margin = 30,
        x = d3.scale.linear()
            .domain([0, 10])
          ...
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