TraXplorer: Multi-Focus Interaction in Time-Series Data Visualization
Source: Purdue University (Krannert)
Information visualization shows tremendous potential for helping both expert and casual users alike make sense of temporal data, but current time series visualization tools provide poor support for comparing several foci in a temporal dataset while retaining context and distance awareness. This paper introduces a visualization system supporting this kind of multi-focus interaction called TRAXPLORER. The approach is based on interactively building hierarchies of 1D strips stacked on top of each other, where each subsequent stack represents a higher zoom level, and sibling strips represent branches in the visual exploration. These hierarchies can also be used as graphical histories and for communicating insights. Correlation graphics show the relation between stacks and strips of different levels, providing context and distance awareness.