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

Types of geographic visualization

According to the values and quantities that we want to display, we can choose from various visualizations that can best represent the data. Usually, we choose between line charts, bar charts, area charts (normal or stacked), pie charts, scatter plots, and so on.

It is easy to understand that the same is true for cartographic visualizations. Besides choosing the type of projection that can represent our data properly, we can also choose between the different types of visualization. This section gives an overview of the most common types of cartographic visualization.

Okay, I have talked enough about the theory—let's draw some maps!

Symbol maps

Our first map will be a simple symbol map as the one in the following figure. We want to display all earthquakes from the US recorded during the last 30 days; the dataset is taken from

A simple Symbol map

As we can see in the preceding figure, we want to display differently sized and colored points...