TY - JOUR T1 - Visualizing missing data: classification and empirical study JF - Proceedings of INTERACT Y1 - 2005 A1 - Eaton,C. A1 - Plaisant, Catherine A1 - Drizd,T. AB - Most visualization tools fail to provide support for missing data. We identify sources of missing, and categorize data visualization techniques based on the impact missing data have on the display: region dependent, attribute dependent, and neighbor dependent. 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. ER -