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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 various interaction techniques to enhance the usability of charts and to make them fully accessible.

First, we saw the concept of event listeners and events in JavaScript and how they are used with D3.js. We used the .on(event, callback) method to attach event callbacks directly on selection of elements. All the details about the triggered event are available in the d3.event object. When dealing with relative coordinates, the d3.mouse(container) function becomes quite handy because it returns the mouse coordinates relative to the container.

Then, we implemented a simple cursor for the chart directive that strictly follows the mouse position. We can easily compute the values on the axis by using the scale.invert() method. In the second cursor implementation, we also needed to compute the nearest value of the dataset to our current position on the axis. To achieve this, we used the d3.bisector() method with an accessor for the x value of the dataset values...

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