Book Image

Expert Data Visualization

By : Jos Dirksen
Book Image

Expert Data Visualization

By: Jos Dirksen

Overview of this book

Do you want to make sense of your data? Do you want to create interactive charts, data trees, info-graphics, geospatial charts, and maps efficiently? This book is your ideal choice to master interactive data visualization with D3.js V4. The book includes a number of extensive examples that to help you hone your skills with data visualization. Throughout nine chapters these examples will help you acquire a clear practical understanding of the various techniques, tools and functionality provided by D3.js. You will first setup your D3.JS development environment and learn the basic patterns needed to visualize your data. After that you will learn techniques to optimize different processes such as working with selections; animating data transitions; creating graps and charts, integrating external resources (static as well as streaming); visualizing information on maps; working with colors and scales; utilizing the different D3.js APIs; and much more. The book will also guide you through creating custom graphs and visualizations, and show you how to go from the raw data to beautiful visualizations. The extensive examples will include working with complex and realtime data streams, such as seismic data, geospatial data, scientific data, and more. Towards the end of the book, you will learn to add more functionality on top of D3.js by using it with other external libraries and integrating it with Ecmascript 6 and Typescript
Table of Contents (10 chapters)

Elections 2016 choropleth

For our first example, we're going to create an election map for the 2016 presidential election. In this map, we'll color the results of each individual county based on whether they voted democrat or republican. The map we create will look like this:

Additionally, we'll also show a list of small cubes below the map that show the results of the individual counties. These counties are ordered per state (as they already appear like that in our source data). Before we can do all this, we first need to collect the data, and prepare it for use in D3.

Preparing data

As we'll see in this chapter, when working with geo-related data, a lot of time is spent on preparing the data, and representing it is rather straightforward. For...