Multi-level Visualization for Exploration of Structures in Missing Data

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dc.contributor.authorAlsufyani, Sarahen_US
dc.contributor.authorForshaw, Matthewen_US
dc.contributor.authorDin, Silvia Delen_US
dc.contributor.authorYarnall, Alisonen_US
dc.contributor.authorRochester, Lynnen_US
dc.contributor.authorFernstad, Sara Johanssonen_US
dc.contributor.editorHunter, Daviden_US
dc.contributor.editorSlingsby, Aidanen_US
dc.date.accessioned2024-09-09T05:44:38Z
dc.date.available2024-09-09T05:44:38Z
dc.date.issued2024
dc.description.abstractMissing data refers to the absence of a value in the dataset where it was expected to be present. This absence is common across various fields. It can be caused by a range of factors in the data collection process, and may severely impact analysis through unreliable or biased results. Missing data visualization provides an effective approach to exploring the missing data, recognizing the missingness patterns and structures, and determining optimal solutions through interactive visual interfaces. This paper presents a visualization prototype that incorporates two novel techniques, the MissVisG glyph and the MissVis plot, to support the exploration of missing values in data. The visualization provides an overview of missing values, and helps identify patterns in the data to guide users in selecting appropriate methods for dealing with the missingness. A multi-step evaluation process is utilized to assess and ensure the usability and effectiveness of the visualization.en_US
dc.description.sectionheadersVisualisation Design and Evaluation Methods
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20241212
dc.identifier.isbn978-3-03868-249-3
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/cgvc.20241212
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/cgvc20241212
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization design and evaluation methods
dc.subjectHuman centered computing → Visualization design and evaluation methods
dc.titleMulti-level Visualization for Exploration of Structures in Missing Dataen_US
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