Visualizing missing data: classification and empirical study

TitleVisualizing missing data: classification and empirical study
Publication TypeJournal Articles
Year of Publication2005
AuthorsEaton C, Plaisant C, Drizd T
JournalProceedings of INTERACT
Pagination861 - 872
Date Published2005///

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.