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


In this chapter, you learned how to select DOM elements and do data-driven transformations using data joins and dynamic properties. We also saw how to use shape and axis generator functions to quickly create common shapes such as lines or areas.

In the end of this chapter, we built our first simple (almost) responsive bar chart. The bar chart already adapts to the width of the browser window on the page load, but it doesn't get recomputed when we change the browser dimensions.

In the next chapter, we will take a look at loading, filtering, and grouping data. This is very important because almost always we will have to load remote data in a certain format (such as CSV) and then process, filter, or group it afterwards in order to visualize it.