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

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 point per...