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

Data representation for topology and geographic features

Geographical data is usually stored in databases and programs called Geographic Information Systems (GIS). These are usually tools to design, store, manipulate, analyze, and display the cartographic data. The following figure shows how the different aspects of the world can be abstracted as layers and managed in such a system:

A typical GIS abstraction

Most of these systems provide an interface to access or download these layers separately—that is, cartographic data, statistical data, or other geographic data—in a specified GIS format. There exists a variety of different GIS pixel- and vector-based formats; however, we will look into two JSON-based vector formats: GeoJSON and TopoJSON.

If you are looking for geographic data sets, I recommend you to visit, as well as the extensive list on Robin Wilson's page at

GeoJSON – a format for geographic features

JSON is...