|
Abstract:
|
Making data visualizations dynamic and interactive is as much a challenge of software engineering as it is a challenge of design and functionality. That is, while we need to be careful to create interactions that are useful and intuitive, the very nature of interactivity requires that the responsiveness be practically instantaneous, which in turn requires software design that is tuned to the interactions. As an interactive applied statistical discovery tool, JMP software from SAS has taken on more and more interactivity as hardware performance has improved over its 30-year history. We will demonstrate and discuss the discovery-driven functionality and software implementation challenges of eight types of interactivity in JMP: selection linking, axis scaling, filtering, column switching, graph construction, model parameters, view settings, and hover details.
|
