The VAST Challenge is a data visualization contest that occurs every year as part of the IEEE VisWeek Conference. This year’s challenge dealt with three datasets: illegal arms trading, hospitalization records, and gene mutation. We chose to address hospitalization records and visualizing the spread of a pandemic.
Not surprisingly, the bulk of the work was cleaning up and organizing the data. Records from disparate entities tend to have little resemblance to one another. Unfortunately, this means that analysis of data across these entities is time consuming, if feasible at all.
We looked at ways to enable early detection of epidemics and .... read on ›















