Introduction to D3.js

SCRPT-146 (2 Days)
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D3 Training Overview

D3.js is a JavaScript library that renders data using HTML, SVG, and CSS. 

Accelebrate’s Introduction to D3 training class teaches attendees how to create dynamic data visualizations that are viewable on almost any modern browser on a range of devices, allowing you to integrate sophisticated data displays into your web applications.

Location and Pricing

Most Accelebrate courses are taught as private, customized training for 3 or more attendees at our clients' sites worldwide. In addition, we offer live, private online classes for teams who may be in multiple locations or wish to save on travel costs. Please visit our client list for organizations for whom we have delivered onsite training. To receive a customized proposal and price quote for private on-site or online training, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

D3 Training Objectives

All students will:

  • Understand the approach D3 takes to simplifying data visualization
  • Create both static and dynamic visualizations that can vary based on modified data or user interaction
  • Generate visualizations with several of the most common D3 layouts, including histogram, pie, cluster, stack,and treemap)
  • How to maximize the performance of your visualizations and avoid slow rendering
  • Master reusable skills for using future layouts

D3 Training Outline

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Introduction
  • What is D3, who made it, and why do you care?
  • Examples and use cases
Basics
  • Selections
  • Data
  • SVGs
    • Life without D3
  • Scales/Axes
  • Shapes
The D3 Paradigm
  • Anonymous functions (brief review if necessary)
  • DOM data-binding
    • Adding, removing, and updating elements
    • Transitions
  • Code structure
Layouts, SVG Helpers, and Time
  • Histogram, pie, cluster, stack, treemap
  • Lines, arcs, chords, and diagonals
  • Time
Interaction
  • Mouse events
  • Keyboard events
  • Streaming data
  • Editing a dataset with D3
Performant Visualizations
  • Why you should care about the performance of your visualizations
  • What makes a visualization slow
    • Data manipulation
    • Network conditions
    • Repaints
  • Patterns to avoid
  • Using Chrome Developer Tools to measure the performance of your visualizations
Conclusion
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Lecture percentage

35%

Lecture/Demo

Lab percentage

65%

Lab

Course Number:

SCRPT-146

Duration:

2 Days

Prerequisites:

Attendees should have a solid knowledge of HTML, JavaScript, and CSS. Prior experience with SVG is not presumed.

Training Materials:

All attendees receive comprehensive courseware and a copy of O’Reilly’s Interactive Data Visualization for the Web.

Software Requirements:

  • Windows, Mac OS X, Linux, or Solaris, ideally on a machine with dual core or faster processor and 8GB RAM or higher
  • Git 2.x or later 
  • Preferred JavaScript code editor
  • Modern Web Browser (one or more of the following)
    • Google Chrome (strongly preferred, one segment is Chrome specific)
    • Mozilla Firefox (with Firebug installed)
  • Either Node.js or Python

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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International:
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International:
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