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Mastering D3.js

You're reading from   Mastering D3.js Bring your data to life by creating and deploying complex data visualizations with D3.js

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Product type Paperback
Published in Aug 2014
Publisher Packt
ISBN-13 9781783286270
Length 352 pages
Edition 1st Edition
Tools
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Author (1):
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Pablo NAVARRO CASTILLO Pablo NAVARRO CASTILLO
Author Profile Icon Pablo NAVARRO CASTILLO
Pablo NAVARRO CASTILLO
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Visualization FREE CHAPTER 2. Reusable Charts 3. Creating Visualizations without SVG 4. Creating a Color Picker with D3 5. Creating User Interface Elements 6. Interaction between Charts 7. Creating a Charting Package 8. Data-driven Applications 9. Creating a Dashboard 10. Creating Maps 11. Creating Advanced Maps 12. Creating a Real-time Application Index

Using the package in other projects


In this section, we will create a minimal web page that uses the windmill package. We begin by creating an empty directory, initializing the repository, and creating a README.md file. We create the bower.json file using bower init. We will install bootstrap to use it in our web page:

$ bower install --save bootstrap

This will download bootstrap and its dependencies to the bower_components directory. We will install the windmill library using the Git endpoint of the repository:

$ bower install --save https://github.com/pnavarrc/windmill.git

This will download the current version of windmill and the version of D3 on which windmill depends. The contents of the bower_components directory are as follows:

bower_components/
   bootstrap/
   d3/
   jquery/
   windmill/

In the index page, we will display the average wind speed in a certain city during 2013. We will store the data in the wind.csv file located in the data directory. The CSV file has three columns that...

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