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 about data preprocessing in order to make it displayable for the visualization. We saw how to filter unexpected data, how to map data to a different representation, and how to aggregate data.

We took a look at loading data from remote resources and custom-parsing via Regular Expressions. We saw how to split a string into an array of elements that can then be used for further processing. In the end, you learned how to use D3 for grouping flat data into nested objects. This helped us to ultimately extract all the desired information out of the remote dataset.

In the next chapter, we will take the previously generated chart and make it responsive. You will learn what it exactly it means for a chart to be responsive and how we can use Bootstrap to achieve this.