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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 7. Creating Maps and Cartographic Visualizations Using GeoJSON

In the previous chapter, you learned about transitions and animations; now, think about animating features on geographic visualization because we will take a look at cartographic visualization and GeoJSON. In this chapter, you will learn the following:

  • Understanding the different challenges of cartographic visualizations

  • Understanding the geometric coordinate system

  • Learning about the GeoJSON format

  • Understanding the problems of GeoJSON and the advantages of TopoJSON

  • Learning about 3D to 2D projections

  • Getting familiar with helpful tools for cartographic visualizations

  • Creating color scales

  • Drawing GeoJSON features

  • Loading multiple resources at once

  • Drawing geographic grids

  • Implementing different types of geographic visualizations

In the first section, we will look into the ecosystem of cartographic visualizations and understand different challenges and problems that occur when dealing with such visualizations. First, we will look...