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Data Visualization with D3 and AngularJS

You're reading from   Data Visualization with D3 and AngularJS Build dynamic and interactive visualizations from real-world data with D3 on AngularJS

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781784398484
Length 278 pages
Edition 1st Edition
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Authors (2):
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Erik Hanchett Erik Hanchett
Author Profile Icon Erik Hanchett
Erik Hanchett
Christoph Körner Christoph Körner
Author Profile Icon Christoph Körner
Christoph Körner
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Toc

Table of Contents (11) Chapters Close

Preface 1. The Magic of SVG, D3.js, and AngularJS FREE CHAPTER 2. Getting Started with D3.js 3. Manipulating Data 4. Building a Chart Directive 5. Loading and Parsing Data 6. Drawing Curves and Shapes 7. Controlling Transitions and Animations 8. Bringing the Chart to Life with Interactions 9. Building a Real-time Visualization to Monitor Server Logs Index

Summary


In this chapter, you learned how to implement a simple monitor server that pushes data changes in real time to the client. We used Node.js because of its nonblocking I/O behavior and because of the fact that we can write the server code in JavaScript.

After installing Node.js and creating a package.json file for the application, we installed the express and serve-static web framework via the npm Node package manager.

We used the serve-static package to serve all the static files in the root directory of our application and added it as a middleware to express. This allows you to write a simple file server in less than 10 lines of code.

To implement real-time communication, we need a bidirectional connection rather than the unidirectional HTTP protocol. Therefore, we added Socket.IO, a wrapper and compatibility layer for the WebSockets protocol, a protocol for bidirectional TCP connection for the Web. With Socket.IO, we can easily receive data from a client or—the big advantage to HTTP...

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