Visualizing Missing Data: Graph Interpretation User Study

TitleVisualizing Missing Data: Graph Interpretation User Study
Publication TypeBook Chapters
Year of Publication2005
AuthorsEaton C, Plaisant C, Drizd T
EditorCostabile M, Paternò F
Book TitleHuman-Computer Interaction - INTERACT 2005
Series TitleLecture Notes in Computer Science
Pagination861 - 872
PublisherSpringer Berlin / Heidelberg
ISBN Number978-3-540-28943-2

Most visualization tools fail to provide support for missing data. In this paper, we identify sources of missing data and describe three levels of impact missing data can have on the visualization: perceivable, invisible or propagating. We then report on a user study with 30 participants that compared three design variants. A between-subject graph interpretation study provides strong evidence for the need of indicating the presence of missing information, and some direction for addressing the problem.