by Brian Cragun and Susann Keohane
Our world is becoming increasingly intelligent, interconnected, and instrumented, resulting in massive amounts of data being collected. This data is a treasure trove of information that can be mined to improve service, increase sales, or make operations more efficient. Analysis of such large amounts of data, often called analytics, is increasingly desired by governments and businesses alike. Yet getting useful information from such large amounts of data is a daunting task. Analytics often relies on real-time visual renderings that allow users to quickly spot trends and gain insights. These visual renderings tend to be complex charts (bar, line, scatter, or bubble charts, timelines, node diagrams, etc.) or editable node diagrams. Visual charts can be challenging to understand, especially for persons with disabilities. This presentation describes some of the accessibility challenges of charts, large datasets, and node diagrams and some techniques to make them more accessible and usable by people with disabilities.
9th–13th March 2012