@article {16109,
	title = {Visualizing missing data: classification and empirical study},
	journal = {Proceedings of INTERACT},
	year = {2005},
	month = {2005///},
	pages = {861 - 872},
	abstract = {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.},
	author = {Eaton,C. and Plaisant, Catherine and Drizd,T.}
}
