Evaluation of Serial Periodic, Multi-Variable Data Visualizations

In this paper, I present the results of an evaluation of the effectiveness of a new technique for the visualization and exploration of serial periodic data. At this time, the only other visualization to support this task is the “Spiral” by Carlis and Konstan [1], which an issue with space usage that I attempt to address– namely, the data points on the fringes of the spiral are sparse and the data points towards the middle are crowded. My solution to this is to use a grid-like structure, where space is used is uniformly throughout, and no space is wasted. I have conducted a study to compare the effectiveness of several variations of the grid approach of looking at multiple variables simultaneously, and the findings of this study are discussed.