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Learning Responsive Data Visualization

You're reading from   Learning Responsive Data Visualization Create stunning data visualizations that look awesome on every device and screen resolutions

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781785883781
Length 258 pages
Edition 1st Edition
Languages
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Authors (2):
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Christoph Körner Christoph Körner
Author Profile Icon Christoph Körner
Christoph Körner
Erik Hanchett Erik Hanchett
Author Profile Icon Erik Hanchett
Erik Hanchett
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with Responsive Design, Bootstrap, and D3.js FREE CHAPTER 2. Creating a Bar Chart Using D3.js and SVG 3. Loading, Filtering, and Grouping Data 4. Making the Chart Responsive Using Bootstrap and Media Queries 5. Building Responsive Interactions 6. Designing Transitions and Animations 7. Creating Maps and Cartographic Visualizations Using GeoJSON 8. Testing Responsive Visualizations 9. Solving Cross-Browser Issues Index

Creating Scales and Axis

D3 is often mistaken for a charting library, which is not really correct. D3 provides loads of built-in functions to easily create interactive charts; however, it is not a charting library. One of these typical built-in charting helpers are the closely related Scales and axis generators. You will learn about them in this section.

At the end of this section, we want to be able to draw a simple axis as the one in the following figure. Therefore, we need to scale our dataset to a specific pixel range (using Scales) and create all the SVG elements for the axis (using axis generators):

Creating Scales and Axis

Axis in D3

Mapping data values to a Pixel Range with scales

The concept of scales is very important when we deal with graphics and visualization. It is a common task to scale values from a certain domain to a certain range of pixels. We need them to create tick values on axes, and we need them to scale our data points to the area of the chart.

The following figure explains the problem a little...

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