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Home > Web Development > Web Programming > Learn D3.js
Learn D3.js
Learn D3.js

Learn D3.js: Create interactive data-driven visualizations for the web with the D3.js library

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Learn D3.js

Technical Fundamentals

This chapter covers fundamental standard web technologies used by D3: SVG, JavaScript (ES 2015), HTML Canvas and standard data formats such as JSON and CSV. It is intended as a general reference to these topics.

Most data visualizations created with D3.js generate SVG graphics. Good knowledge of SVG is important to make the most of D3, but you only really need to know the basics. It’s enough to know how to create simple shapes such as rectangles, circles, lines, and their attributes and styles. It’s also useful to understand how to apply transforms, such as translate, scale and rotate. This chapter includes a quick refresher on SVG that covers these essential topics and a bit more, since the more SVG you know, the more graphical resources you will have to create data visualizations using D3.

All the code examples in this book use ES 2015 (ES6...

Scalable Vector Graphics (SVG)

SVG stands for Scalable Vector Graphics. It’s an XML-based image format that describes graphics using geometrical attributes. Unlike HTML5 Canvas, which is another standard for vector graphics, SVG primitives are made of individual XML elements described using tags and attributes. It is also object-based and provides a DOM, which allows CSS styling, dynamic shape creation and manipulation, and coordinate transforms using JavaScript or CSS.

To control SVG elements with D3 you should understand basic SVG syntax and rules, how a document is structured, how each element is rendered, the effects caused by attributes and styles, as well as nesting and transformation rules.

All the code used in this section is available in the SVG/ folder, from the GitHub repository for this chapter. You can see the results simply loading the pages in your browser...

Essential Javascript data structures

Data used as sources for visualizations is usually organized in some kind of structure. The most common structures are probably lists (arrays) and tables (maps), stored in some standard data format. When using data from external sources, you usually need to clean it up, removing unnecessary values, simplifying its structure, applying bounds, etc. After that you can parse it and finally store it locally in a JavaScript array or JavaScript object that can be used by the chart.

Once your data is stored in a JavaScript data structure, you can transform it further applying mathematical operations on the stored values. It’s useful to have a good knowledge of the main data structures used in JavaScript: arrays, objects, functions, strings, maps and sets, since your data will probably be in one of these formats. This section describes each one...

HTML5 Canvas

Most of your D3 applications will render graphics using SVG, but several shape generators in SVG can also generate Canvas, and you may choose to use Canvas in all or part of your application to improve performance if you have memory problems due to excessive objects created in the DOM.

This section provides a brief overview of the Canvas API, listing the methods you are most likely to use and some examples that can be compared to the ones created for SVG.

To draw using Canvas you need to create a <canvas> element in your page. You can do that using plain HTML:

<body>
   <canvas id="canvas" width="400" height="300"></canvas>
</body>

Or using D3:

d3.select("body").append("canvas").attr("width", 400).attr("height", 300);

If you declare the Canvas element in HTML, you can...

Data formats

Data used in visualizations are usually distributed in a standard format that can be shared. Even when the data is served from a database, the data is usually delivered in some standard format. Popular proprietary formats such as Excel spreadsheets are common, but most statistical data is stored or delivered in CSV, XML or JSON formats.

CSV

CSV stands for Comma-Separated Values. It's a very popular data format for public data. A CSV file is a text file that emulates a table. It usually contains one header row with names of the columns, and one or more data rows containing value fields. Rows are separated by line breaks, and the comma-separated fields in each row form columns. It maps perfectly to an HTML...

Summary

This chapter covered some technology fundamentals you should know to get the most out of D3: SVG, which is the main standard used by D3 to draw graphics, ES2015 JavaScript used in all code examples (although D3 supports earlier versions as well), HTML Canvas and popular data formats.

In the next chapter, we will finally start diving deeper into D3 and create a bar chart using HTML and SVG, and also a world map, using a bit of most of the features we will cover in this book.

References

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Key benefits

  • 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

Description

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.

Who is this book for?

The book is intended for web developers, web designers, data scientists, artists, and any developer who wish to create interactive data visualization for the Web using D3. The book assumes basic knowledge of HTML, CSs, and JavaScript.

What you will learn

  • 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

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 03, 2019
Length: 650 pages
Edition : 1st
Language : English
ISBN-13 : 9781838649609
Category :
Web Development
Languages :
JavaScript
Concepts :
Web Programming
Tools :
D3

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Publication date : May 03, 2019
Length: 650 pages
Edition : 1st
Language : English
ISBN-13 : 9781838649609
Category :
Web Development
Languages :
JavaScript
Concepts :
Web Programming
Tools :
D3

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Table of Contents

12 Chapters
Introduction Chevron down icon Chevron up icon
Introduction
D3 data-driven documents
Using D3
Modules (microlibraries)
Summary
References
Technical Fundamentals Chevron down icon Chevron up icon
Technical Fundamentals
Scalable Vector Graphics (SVG)
Essential Javascript data structures
HTML5 Canvas
Data formats
Summary
References
Quick Start Chevron down icon Chevron up icon
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
Data Binding Chevron down icon Chevron up icon
Data Binding
Selections
D3 general update pattern
Data joining
Loading and parsing data
A complete step-by-step example
Summary
References
Manipulating Data and Formatting Chevron down icon Chevron up icon
Manipulating Data and Formatting
Manipulating arrays, collections, and objects
Grouping data with d3.nest()
Histograms
Random numbers
Interpolation
Text formatting and internationalization
Summary
References
Scales, Axes, and Colors Chevron down icon Chevron up icon
Scales, Axes, and Colors
Axes
Scales
Color palettes, schemes, and spaces
Creating a scatterplot
Summary
References
Shape and Layout Generators Chevron down icon Chevron up icon
Shape and Layout Generators
Shapes and layouts
Lines
Symbols
Curve functions
Areas
Stacked layouts
Radial charts
Arcs
Pie layout
Canvas rendering
Summary
References
Animation and Interactivity Chevron down icon Chevron up icon
Animation and Interactivity
Events
Transitions
Timers
Dragging behavior
Brushing behavior
Zooming behavior
Summary
References
Visualizing Hierarchical Data Chevron down icon Chevron up icon
Visualizing Hierarchical Data
Hierarchical data
Unidirectional node-link diagrams
Partitions
Enclosure diagrams
Interactive visualizations
Summary
References
Visualizing Flows and Networks Chevron down icon Chevron up icon
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
Visualizing Geographical Data Chevron down icon Chevron up icon
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
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Client d&#39;Amazon Aug 11, 2022
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Excellent !A lot of example and a progressive way to learn D3.A reference for me; I will use it frequently !
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Paul Jan 29, 2020
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Excellent booking.
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Pegah Aug 29, 2019
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This is a fabulous book! At over 600 pages, it's not for the faint-hearted however. By that I mean da Rocha goes into a lot of detail about all things D3-related from SVGs to scales to axes to colors etc. While each chapter can be hard going at times - owing to the aforementioned level of detail - you can't beat this book if you want a thorough understanding of D3. (I tend to read it alongside Bostock's own voluminous notes as I'm a big proponent of familiarizing yourself with the source code/notes.) Finally, da Rocha "rewards" your efforts by wrapping up each chapter with a brilliant yet relatively simple visualization that uses everything you've learned in that particular chapter. (I should probably add that every chapter comes with code, and it's clear that da Rocha has put a lot of time and effort into writing and explaining this code.) And what's more, these visualizations are really attractive - he nails everything including fairly mundane things like the look of the tooltips box. (By way of background, I buy lots of JavaScript/Python/R-related books on Amazon but I've never bothered reviewing any till this one.)
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Danny Alan Jan 04, 2021
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Explains everything from beginning to end, I now have a completely bespoke written from scratch force network diagram with my own nodes. All within 5 days of buying the book! Cracking
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nmnmers Jun 13, 2019
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I read the book from Packt Publishing website to get started with D3.js. I first tried to follow couple of other resources but they weren't as good as this one. Would definetely recommend it. It comes with lots of hands on examples with it.
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About the author

Profile icon Helder da Rocha
Helder da Rocha
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Helder teaches, writes and develops applications with Java and Web technologies since 1995. In 1996 he wrote one of the first books in Portuguese about HTML and JavaScript, and since then he created hundreds of presentations, tutorials, and course materials on Java, Java EE, programming tools, patterns, techniques, methodologies, HTML, CSS, JavaScript, SVG, XML and related technologies, data visualization, Arduino and Internet of Things. He holds a masters degree in Computer Science. He also has a background in the visual arts and design and has some of his artwork in permanent museum exhibits. He lives in Brazil, where he works as an independent consultant, developer and instructor and a frequent speaker at technological events.
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