D3.js: Cutting-edge Data Visualization

More Information
  • Gain a solid understanding of the common D3 development idioms
  • Find out how to write basic D3 code for servers using Node.js
  • Install and use D3.js to create HTML elements within a document
  • Create and style graphical elements such as circles, ellipses, rectangles, lines, paths, and text using SVG
  • Turn your data into bar and scatter charts, and add margins, axes, labels, and legends
  • Use D3.js generators to perform the magic of creating complex visualizations from data
  • Add interactivity to your visualizations, including tool-tips, sorting, hover-to-highlight, and grouping and dragging of visuals
  • Write, test, and distribute a D3-based charting package
  • Make a real-time application with Node and D3

D3 has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. We begin the course by setting up a strong foundation, then build on this foundation as we take you through the entire world of reimagining data using interactive, animated visualizations created in D3.js.

In the first module, we cover the various features of D3.js to build a wide range of visualizations. We also focus on the entire process of representing data through visualizations. By the end of this module, you will be ready to use D3 to transform any data into a more engaging and sophisticated visualization.

In the next module, you will learn to master the creation of graphical elements from data. Using practical examples provided, you will quickly get to grips with the features of D3.js and use this learning to create your own spectacular data visualizations with D3.js.

Over the last leg of this course, you will get acquainted with how to integrate D3 with mapping libraries to provide reverse geocoding and interactive maps among many other advanced features of D3. This module culminates by showing you how to create enterprise-level dashboards to display real-time data.

This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:

  • Learning D3.js Data Visualization, Second Edition by Andrew H. Rininsland
  • D3.js By Example by Michael Heydt
  • Mastering D3.js by Pablo Navarro Castillo
  • Understand how to best represent your data by developing the right kind of visualization
  • Explore the concepts of D3.js through examples that enable you to quickly create visualizations including charts, network diagrams, and maps
  • Get practical examples of visualizations using real-world data sets that show you how to use D3.js to visualize and interact with information to glean its underlying meaning
Page Count 868
Course Length 26 hours 2 minutes
ISBN 9781787286122
Date Of Publication 30 Mar 2017


Ændrew Rininsland

Ændrew Rininsland is a developer and journalist who has spent much of the last half a decade building interactive content for newspapers such as The Financial Times, The Times, Sunday Times, The Economist, and The Guardian. During his 3 years at The Times and Sunday Times, he worked on all kinds of editorial projects, ranging from obituaries of figures such as Nelson Mandela to high-profile, data-driven investigations such as The Doping Scandal the largest leak of sporting blood test data in history. He is currently a senior developer with the interactive graphics team at the Financial Times.

Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything.

Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.

Pablo Navarro Castillo

Pablo Navarro Castillo is a mathematical engineer and developer. He earned his Master's degree in Applied Mathematics from École des Mines de Saint-Etienne in France. After working for a few years in operations research and data analysis,  he began to work as a data visualization consultant and developer.

He has collaborated with Packt Publishing as a technical reviewer for Data Visualization with D3.js and Data Visualization with D3.js Cookbook. In 2014, he founded Masega, which is a data visualization agency based in Santiago, Chile, where he currently works.