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

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:

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 element that...