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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

Panning and zooming

Besides clicking onto the data points, bars, and elements in the visualization, a common interaction is zooming and panning. This helps the user to change from smaller view to a more detailed view of the data. Having in mind everything you have learned so far, it would also make sense to increase the data resolution while you zoom. The more the user zooms into the visualization, the higher the data resolution.

Similar to the previous chapter, there are multiple ways to implement them. We will look at the different possibilities and compare them by zooming into the chart in the following picture:

Panning and zooming

A simple bar chart in a grid layout

A simple zoom

Let's first start with a very simple zoom. In many cases, mostly when we use data representations without axis, we want to provide the user a way to simply enlarge the view of the visualization.

To implement this effect, we can use SVG's native transform functions, such as scale and translate, and apply them to a container...

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