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)

Summary

That wraps it up for this chapter on visualizing hierarchical data. With D3, we can easily visualize this kind of data through different visualizations. Once you've got your data, you first need to create a nested structure of it. D3 offers helper functions for this (d3.nest and d3.stratify) that take care of converting row-based data to a structure that can be passed into the chart functions (such as tree and treemap). We've also seen that not all data can be visualized properly with the available visualizations. The normal tree works well for visualizing trees, but can quickly result in very large charts. Luckily, D3 offers a d3.zoom function, which allows you to pan and zoom around the chart. We've also seen that by changing how the x and y coordinates are projected, we can quickly change the way the chart looks. With our radial tree, we showed that large tree structures can be visualized...