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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

Good practices in dashboard design


When designing a dashboard, we need to get the most out of each section of the screen so that we can design our graphics to maximize the absorption of information. Some visual attributes are more easily perceived than others, and some of them can communicate effectively without having to pay full attention to them. These attributes are called preattentive attributes of visual perception. We will discuss some of them in the context of dashboard design:

  • Color: There are several ways to describe color. One of the color models is called the HSL model, which is better for humans to understand. In this model, the color is described by three attributes, hue (what we usually call color), saturation (intensity of a color), and lightness or brightness. The perception of color depends on the context. A light color will draw attention if it's surrounded by dark colors; a highly saturated blue will be flashy if the background is a pale color. The dashboard should...

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