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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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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

Creating the client application

In the previous section, we implemented the streaming server. The server application allows other applications to send words that you can listen to from the statuses/sample endpoint from Twitter. When the server receives geotagged tweets containing the words tracked by a client, it will deliver the client a simplified version of the tweet. The server doesn't enforce what the client applications do with the tweets; the client application could just count the tweets, visualize the frequency of each term in time with a heat map, or create a network chart showing the co-occurrence of the terms.

In this section, we will implement a client application. The application will display a map showing the location of the tweets that match each term in a world map, and will display a bar chart that will display the count for each term. As we did in Chapter 6, Interaction between Charts, we will use Backbone and D3 to structure our application. A screenshot of the application...

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