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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 streaming server

In this section, we will use Node to create the streaming server. The server will handle the client connections and the connection to the Twitter-streaming API; it will also manage the list of topics for all the clients who deliver tweets as they arrive.

We will begin by creating Twitter authentication tokens; we will learn how to use the Twit module to manage the connection to the Twitter API, and how to use Socket.IO to handle real-time communication between the server and the client application.

To follow the examples in this section, open the chirp-server project directory in the terminal and run the following command to install the project dependencies:

$ npm install

This will create the node_modules directory and download the project dependencies. If you haven't installed Node, download the binaries for your platform from http://nodejs.org/download/ and follow the instructions on the page.

Using the Twitter-streaming API

Twitter provides a streaming API...

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