Research on how people perceive and interpret data visualizations is not new. Back in 1987, for example, Cleveland and McGill [1] conducted a series of experiments to identify how visual elements such as textures, colors, areas, and slope of the lines influence people’s understanding of the data. More recently, Szafir [2] discusses how colors are used to encode information and can facilitate data interpretation. Similarly, gestures and body movements have been used in visual analytics [3]. Ball and North [4] conducted an experiment comparing a mouse-based versus a full-body approach to navigate a data map on a wall display. Participants were faster in accomplishing their data analysis tasks (e.g., zooming in or aggregating data) when using the full-body approach to navigation.