Gestalt is in the process of building multiple different visualizations for the contagion dataset. For those of you who are not familiar with what a contagion dataset represents, think of the game Pandemic and the likelihood of a certain event occuring based on a previous event.

We will approach this in a variety of ways. In a contagion dataset, you want to determine the high degree nodes (or the nodes with the highest number of connections). The reason why we want to know the high degree node is because it has the highest influence to be contagious. We will visualize this via a tile grid map and a horizontal bar graph.

Another aspect that we would like to extract from a contagion dataset is directionality. We will visualize this via a line graph.

Lastly, what are the probability that a particular node will be affected by the contagion? We will visualize contingent probability of a crisis using the lollipop graph.

We hope you look forward to our future updates as much as we do. We really can’t wait to see the result!