Visual analysis of missing data - To see what isn't there

Fernstad, Sara Johansson and Glen, Robert (2014) Visual analysis of missing data - To see what isn't there. In: IEEE Symposium on Visual Analytics Science and Technology 2014, 9-14 Nov 2014, Paris.

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Abstract

Missing data are records that are absent from a data set. They are data that were intended to be recorded, but for some reason were not. Missing values are common in data analysis and occur in almost any domain, causing problems such as biased results and reduced statistical rigour. Visual analytics has great potential to provide invaluable support for the investigation of missing data. This poster aims to highlight the importance of analysing missing data and the challenges involved, as well as to emphasize the lack of visualization support in the area and through this encourage visualization scientists to discuss and address this highly relevant issue.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	missing data, visualization, exploratory analysis.
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Sara Johansson Fernstad
Date Deposited:	19 Mar 2015 17:21
Last Modified:	13 Oct 2019 00:37
URI:	http://nrl.northumbria.ac.uk/id/eprint/21648

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