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)

Random data-driven streamgraph

When you draw a streamgraph, the data of the different series are put one on top of another, just like for an area chart. Instead of an area chart, though, the bottom of the chart isn't fixed to a single position, but fluctuates, providing a visually appealing way of showing different series:

For our example, we're going to create a streaming variant of this streamgraph. We're going to use a server which pushes random data over a WebSocket to the browser and, based on that data, updates the streamgraph and moves it to the left. The final result we're aiming for is the DVD3/src/chapter-06/D06-03.html example.

When you open this example, and you have the random WebSocket server running (more on that in the next section), you'll see the following streamgraph moving from right to left:

We start again by looking at the server side where we've created a simple...