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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
Tools
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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

Automated testing and Continuous Integration


As we saw previously, there are many cases where we can and should run tests for responsive visualizations. In any case where we can write automated tests, we prefer automated tests over manual tests. The reason we prefer automated tests is easy: to make them repeatable.

Once we have automated tests, we can run them every time a change is pushed to the repository. If they are fast enough, we can even run them every time we make changes to the local source files. This gives immediate feedback about the functionality of the code, and fast feedback. Debugging is easier, identifying and finding bugs, which automatically makes you more productive and development more effective.

Running tests on your local machine

Finally, we can start to write some tests and run them automatically. We will start with unit tests and speak about integration tests afterward.

Running unit tests using Karma

As a first tool to write and run unit tests, we need a tool that can...

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