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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

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...

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