Open-source developments have also made it easier for anyone to render these dynamic visualizations in a short period of time, such as the python packages plotly, pygal and mpld3, just to name a few. Users of VIKTOR are taking advantage of these available tools to help them gain this extra insight in data obtained.
In the GIF animation below, data – generated with an optimization that was applied to a project in the real estate development market – is visualized. The dynamic ability of the visualization has given the user an idea on how the optimization behaves and develops through iterations, and also gives insight on other possibilities, if the cost function isn’t a strict requirement. By assigning all other variables of interest to the data points, the user was also able to inspect data points by merely hovering over the data point. The visualization therefore does not only give a better understanding, but also provides the possibility for quicker decision-making.