Book Image

Learning Responsive Data Visualization

By : Erik Hanchett, Christoph Körner
Book Image

Learning Responsive Data Visualization

By: Erik Hanchett, 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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Shape tweens


Shape tweens are the holy grail of transitions. I want you to remember the D3 Show Reel available at http://bl.ocks.org/mbostock/1256572 in 2011 by Mike Bostock—the author of D3. Here, he shows some awesome shape tween capabilities of D3 by transforming a chart into different representations.

Although a shape tween looks very simple and intuitive, they are almost never easy to create. Why is this so? Because the tools such as SMIL and D3 use simple string interpolation function, which extracts the numeric values of a string and interpolates them to the end state. And as soon the end state string looks different form the starting state—it could have a different amount of points, control points, or path commands—the resulting transition won't look good/smooth. Coming back to the D3 Show Reel, most of the transitions that we see are shape tweens of similar shapes—shapes with the same amount of control points.

This is true in particular for tweening between arbitrary shapes and writing...