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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

Creating an area chart


An area chart or an area graph is very similar to a line chart and largely implemented based on the line chart. The main difference between an area chart and a line chart is that in the area chart, the area between the axis and the line are filled with colors or textures. In this recipe we will explore techniques of implementing a type of area chart known as Layered Area Chart.

Getting ready

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

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter8/area-chart.html

How to do it...

Since an area chart implementation is largely based on the line chart implementation and it shares a lot of common graphical elements such as the axes and the clip path, therefore in this recipe we will only show the code concerning the area chart implementation specifics:

...
function renderBody(svg) {
  if (!_bodyG)
    _bodyG = svg.append("g")
      .attr("class", "body")
      .attr("transform", "translate(" 
       ...
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