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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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Toc

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

Dimensional charting - dc.js

Visualizing Crossfilter dimensions and groups is precisely the reason why dc.js was created. This handy JavaScript library was created by your humble author and is designed to allow you to visualize Crossfilter dimensional dataset easily and quickly. This library was originally created by your humble author now maintained by a group of community contributor led by Gordon Woodhull.

Note

dc.js version 2.0 beta that we used in this chapter has not yet been upgrade to D3 v4.x therefore you will notice usage and references to old D3 v3 API which is somewhat different from what we have witnessed so far in this book.

Getting ready

Open your local copy of the following file as reference:

https://github.com/NickQiZhu/d3-cookbook-v2/blob/master/src/appendix-a/dc.html

How to do it...

In this example we will create three charts:

  • A line chart for visualizing total amount of transaction on time series
  • A pie chart to visualize number of transactions by payment type
  • A bar chart showing...
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