Introduction to D3.js

3 Ratings

Course Number: SCRPT-146

Duration: 2 days (13 hours)

Format: Live, hands-on

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

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

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

Objectives

  • 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

Prerequisites

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

Outline

Expand All | Collapse All

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

Training Materials:

All D3.js training attendees receive comprehensive courseware.

Software Requirements:

  • Windows, macOS, Linux, or Solaris, with at least 8 GB RAM
  • 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
  • Either Node.js or Python


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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