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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
Languages
Tools
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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

Processing and visualizing logs on the client

In the previous section, you learned how to push the server logs from the server to the client; now, we need to organize these logs on the client, and then process and display them.

Bootstrapping a template with AngularJS and Socket.IO

Let's create a HTML page for our client application; we need to load the JavaScript libraries (D3.js, AngularJS, Socket.IO, the CSS layout Bootstrap, and all application files). Due to the usage of Socket.IO on the server side, it can be referenced on the client side with the /socket.io/socket.io.js pseudo location; all other third-party libraries are loaded from the bower_components directory.

We create the index.html page in the root directory of the project, add all libraries, and set up a very simple Bootstrap layout:

<!-- index.html -->
<html ng-app="myApp">
  <head>
    <!-- Include 3rd party libraries -->
    <script src="bower_components/d3/d3.js" charset...
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