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Learning Responsive Data Visualization

You're reading from  Learning Responsive Data Visualization

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781785883781
Pages 258 pages
Edition 1st Edition
Languages
Authors (2):
Erik Hanchett Erik Hanchett
Profile icon Erik Hanchett
Christoph Körner Christoph Körner
Profile icon Christoph Körner
View More author details

Table of Contents (16) Chapters

Learning Responsive Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Getting Started with Responsive Design, Bootstrap, and D3.js 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

Responsive charts


Now that we know some basics about absolute and relative units, we can start to define, design, and implement responsive charts. A responsive chart is a chart that automatically adapts its look and feel to the resolution of the user's device; thus, responsive charts need to adapt the following properties:

  • The dimension (width and height)

  • The resolution of data points

  • Interactions and interaction areas

Adapting to the dimensions is the most obvious thing. The chart should always scale and adapt to the width of its parent element. In the previous section, you learned about relative and absolute lengths, so one may think that simply using relative values for the chart's dimensions would be enough. However, there are multiple ways with advantages and disadvantages to achieve this; in this section, we will discuss three of them.

Adapting to the resolution of the data is a little less obvious and often a neglected thing. The resolution of data points (the amount of data point per...

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