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

Lookup NU author(s): Dr Sara Fernstad


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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.

Publication metadata

Author(s): Fernstad SJ, Glen RC

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE Visual Analytics Science and Technology

Year of Conference: 2014

Pages: 249-250

Online publication date: 16/02/2015

Acceptance date: 09/11/2014

Publisher: IEEE


DOI: 10.1109/VAST.2014.7042514