When we talk about accessibility in this e-learning we are talking about publishing content that can be used and understood by as many people as possible regardless of health condition or impairment.
This checklist aims to help you implement our data visualisation charts guidance and e-learning. It should help you make your charts more accessible and ensure they follow best practice advice.
Making data visualization more accessible for blind and low-vision individuals
Researchers have developed prototypes of data visualizations that enable blind and low-vision people who use screen readers to more easily explore information and gain deeper insights about chart data. They plan to turn these prototypes into a software tool that could help designers make data visualizations accessible and navigable.
When it comes to designing with data, accessibility is a factor that’s critical to ensuring easy and deep engagement—yet it’s often overlooked. Join us for the first article in a three-part series where we explore accessibility standards as they relate to data visualization in an enterprise context.
An Accessibility-First Approach To Chart Visual Design — Smashing Magazine
In this article, we will explore how an accessibility-first approach can lead you down the path of creating a better visual design for charts. Throughout the article, you’ll learn to use the Web Content Accessibility Standards and how this approach leadd to an unexpected yet better outcome for everyone.
A non-exhaustive and in-progress list of people and resources in Accessibility and Data Visualization - GitHub - dataviza11y/resources: A non-exhaustive and in-progress list of people and resources...
Chartability is a set of heuristics (testable questions) for ensuring that data visualizations, systems, and interfaces are accessible. Chartability is organized into principles with testable criteria and focused on creating an outcome that is an inclusive data experience for people with disabilities.