Visualization provides a powerful means for data analysis. To be most effective, visual analytics tools must support the fluent and flexible use of visualizations at fast rates. This becomes increasingly difficult with the increasing size of real-world datasets. First, large databases make interactivity more difficult as a query across the entire data can be slow. Second, any attempt to show all items from a dataset will overload the visualization, resulting in clutter.