Book Image

Learning Responsive Data Visualization

By : Christoph Körner
Book Image

Learning Responsive Data Visualization

By: Christoph Körner

Overview of this book

Using D3.js and Responsive Design principles, you will not just be able to implement visualizations that look and feel awesome across all devices and screen resolutions, but you will also boost your productivity and reduce development time by making use of Bootstrap—the most popular framework for developing responsive web applications. This book teaches the basics of scalable vector graphics (SVG), D3.js, and Bootstrap while focusing on Responsive Design as well as mobile-first visualizations; the reader will start by discovering Bootstrap and how it can be used for creating responsive applications, and then implement a basic bar chart in D3.js. You will learn about loading, parsing, and filtering data in JavaScript and then dive into creating a responsive visualization by using Media Queries, responsive interactions for Mobile and Desktop devices, and transitions to bring the visualization to life. In the following chapters, we build a fully responsive interactive map to display geographic data using GeoJSON and set up integration testing with Protractor to test the application across real devices using a mobile API gateway such as AWS Device Farm. You will finish the journey by discovering the caveats of mobile-first applications and learn how to master cross-browser complications.
Table of Contents (16 chapters)
Learning Responsive Data Visualization
About the Author
About the Reviewer

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...