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

Loading and parsing remote data

In this section, we want to visualize real data rather as in sample dataset; hence, we need to understand how to load data from remote locations. In JavaScript, you can use the native XMLHttpRequest (XHR) object to fetch data within your application. D3 implements not only a wrapper for the native XHR call, but it also implements wrappers for loading different data types and parsing them automatically.

Here is a list of some high-level wrappers in D3:

  • d3.text(url[, mimeType][, callback]): This loads a plain text file with a mimeType from an URL; the data is handed over as a string to the callback where the parsing must be done manually

  • d3.json(url[, callback]): This loads and parses a JSON file from an URL; the data is passed as an object in the callback

  • d3.xml(url[, mimeType][, callback]): Loads and parses an XML file from an URL, the data is passed as an object in the callback

  • d3.html(url[, callback]): This loads and parses an HTML file from an URL; the...