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

Overview of cartographic visualizations

The goal is to display cartographic data on an interactive and responsive visualization using D3.js similar to the following example:

The Choropleth map of USA (source:

However, this is not a straightforward task such as drawing a simple bar chart. There are many things that need to be considered when building a cartographic visualization, and this section will introduce you to these different steps and techniques. Let's get started straightaway and look at all the different components from a bar chart and how they can be compared to a cartographic visualization. This will give us enough knowledge on how to tackle the problem.

A geographic coordinate system

When we draw a bar chart, we usually start by drawing a coordinate system—a Cartesian coordinate system to be precise—usually represented as axes. This coordinate system defines how we can find the desired coordinates to draw a bar; it shows us the x and y directions...