Visually Abstracting Event Sequences as Double Trees Enriched with Category‐Based Comparison

Event sequence visualization aids analysts in many domains to better understand and infer new insights from event data. Analysing behaviour before or after a certain of interest is common task scenarios. In this paper, we introduce, formally define, position double trees as domain-agnostic tree approach for task. The shows the sequences that led on left, those followed right. Moreover, our enables users create selections based attributes interactively compare events along colour-coded categories. We integrate category-based comparison into user interface analysis. three application examples, show diverse set scenarios, covering short long time spans, non-spatial spatial events, human artificial actors, demonstrate general applicability approach.