Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes
This addresses a visualization challenge for domains like medical science and finance, offering an incremental improvement over existing methods.
The paper tackles the problem of visualizing state changes for multiple data items, which is less effective with existing methods like slope graphs and bar charts due to visual clutter and poor quantitative comparison. It proposes Intercept Graph, a radial visualization that explicitly encodes changes and allows interactive filtering, demonstrating effectiveness through a case study with real datasets.
State change comparison of multiple data items is often necessary in multiple application domains, such as medical science, financial engineering, sociology, biological science, etc. Slope graphs and grouped bar charts have been widely used to show a "before-and-after" story of different data states and indicate their changes. However, they visualize state changes as either slope or difference of bars, which has been proved less effective for quantitative comparison. Also, both visual designs suffer from visual clutter issues with an increasing number of data items. In this paper, we propose Intercept Graph, a novel visual design to facilitate effective interactive comparison of state changes. Specifically, a radial design is proposed to visualize the starting and ending states of each data item and the line segment length explicitly encodes the "state change". By interactively adjusting the radius of the inner circular axis, Intercept Graph can smoothly filter the large state changes and magnify the difference between similar state changes, mitigating the visual clutter issues and enhancing the effective comparison of state changes. We conducted a case study through comparing Intercept Graph with slope graphs and grouped bar charts on real datasets to demonstrate the effectiveness of Intercept Graph.