D3.js Data Visualization Projects [Video]

D3.js Data Visualization Projects [Video]

Michael Heydt

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Video Description

If you are looking to create immersive and interesting data visualization projects, then D3.js is the right tool for you. It simplifies your core requirement for binding arbitrary data to a document object model and then applies data-driven transformations to your documents. This video will show you the power of D3.js and the multitude of application domains that can be addressed by using it.

You’ll build two complete applications with D3.js in this video—applications that increase in complexity as the chapters proceed. While you create apps from scratch, you will learn to implement the various features of D3.js. The projects start with a simple chart app, then move on to creating scalable data-intensive apps, typically dedicated to the big data domain. You'll create a complex business app that lets you feed your data and create interactive real-time visualizations with various export options.

By the end of the course, you will have enough expertise and confidence to create any type of data visualization app using D3.js

The code bundle for this course is available at https://github.com/PacktPublishing/D3.js-Data-Visualization-Projects

Style and Approach

This video takes a modular, project-based approach. Each module acts as an independent training module to create a particular app and is self-sufficient. The apps increase in complexity level as you move through the video.

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What You Will Learn

  • Get up and running with a local development environment to create D3.js visualizations
  • Grasp the D3.js general update pattern and see how it can be used to map data to visual elements
  • Create charts using D3.js, including lines, bars, scatter-plots, areas, grouped bars, stacked bars, pies, and donuts
  • Enhance charts with axes, labels, titles, legends, and more
  • Use animation to highlight changes in data
  • Allow the user to interact with data using the mouse or by touch

Authors

Video Details

ISBN 139781786466082
Course Length5 hours 15 minutes
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