Learn D3.js

• Learn to use D3.js version 5 and web standards to create beautiful interactive data-driven visualizations for the web
• Bind data to DOM elements, applying different scales, color schemes and configuring smooth animated transitions for data updates
• Generate data structures and layouts for many popular chart formats
• Apply interactive behaviors to any chart
• Create thematic maps based on GIS data using different geographical projections with interactive behaviors
• Load, parse and transform data from JSON and CSV formats

This book is a practical hands-on introduction to D3 (Data-driven Documents): the most popular open-source JavaScript library for creating interactive web-based data visualizations. Based entirely on open web standards, D3 provides an integrated collection of tools for efficiently binding data to graphical elements. If you have basic knowledge of HTML, CSS and JavaScript you can use D3.js to create beautiful interactive web-based data visualizations. D3 is not a charting library. It doesn’t contain any pre-defined chart types, but can be used to create whatever visual representations of data you can imagine. The goal of this book is to introduce D3 and provide a learning path so that you obtain a solid understanding of its fundamental concepts, learn to use most of its modules and functions, and gain enough experience to create your own D3 visualizations. You will learn how to create bar, line, pie and scatter charts, trees, dendograms, treemaps, circle packs, chord/ribbon diagrams, sankey diagrams, animated network diagrams, and maps using different geographical projections. Fundamental concepts are explained in each chapter and then applied to a larger example in step-by-step tutorials, complete with full code, from hundreds of examples you can download and run. This book covers D3 version 5 and is based on ES2015 JavaScript.

• Explore the latest D3.js 5 for creating charts, plots, and force-directed graphics
• Practical guide for creating interactive graphics and data-driven apps with JavaScript
• Build Real-time visualization and transition on web using SVG with D3.js

Table of contents

1 Introduction
D3 data-driven documents
Using D3
Modules (microlibraries)
Summary
References

2 Technical Fundamentals
Scalable Vector Graphics (SVG)
Essential Javascript data structures
HTML5 Canvas
Data formats
Summary
References

3 Quick Start
Selecting and binding data
Creating a bar chart with D3 and HTML
Creating a bar chart with D3 and SVG
Updating data visualizations
Displaying a map using D3 and SVG
Summary
References

4 Data Binding
Selections
D3 general update pattern
Data joining
Loading and parsing data
A complete step-by-step example
Summary
References

5 Manipulating Data and Formatting
Manipulating arrays, collections, and objects
Grouping data with d3.nest()
Histograms
Random numbers
Interpolation
Text formatting and internationalization
Summary
References

6 Scales, Axes, and Colors
Axes
Scales
Color palettes, schemes, and spaces
Creating a scatterplot
Summary
References

7 Shape and Layout Generators
Shapes and layouts
Lines
Symbols
Curve functions
Areas
Stacked layouts
Radial charts
Arcs
Pie layout
Canvas rendering
Summary
References

8 Animation and Interactivity
Events
Transitions
Timers
Dragging behavior
Brushing behavior
Zooming behavior
Summary
References

9 Visualizing Hierarchical Data
Hierarchical data
Unidirectional node-link diagrams
Partitions
Enclosure diagrams
Interactive visualizations
Summary
References

10 Visualizing Flows and Networks
Network visualization
Graphs and data structures
Adjacency diagrams
Chord diagrams
Sankey diagrams
Arc diagrams
Node-link diagrams with force-directed simulations
Summary
References

11 Visualizing Geographical Data
Geographical information systems
How to make a thematic map
GeoJSON geometries
TopoJSON
Graticules, circles and lines
Projections
Spherical geometry
Zooming, brushing and rotating
Using Canvas
Summary
References