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To Explore What Isnt There-Glyph-Based Visualization for Analysis of Missing Values
Newcastle Univ, England.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
2022 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 28, no 10, p. 3513-3529Article in journal (Refereed) Published
Abstract [en]

This article contributes a novel visualization method, Missingness Glyph, for analysis and exploration of missing values in data. Missing values are a common challenge in most data generating domains and may cause a range of analysis issues. Missingness in data may indicate potential problems in data collection and pre-processing, or highlight important data characteristics. While the development and improvement of statistical methods for dealing with missing data is a research area in its own right, mainly focussing on replacing missing values with estimated values, considerably less focus has been put on visualization of missing values. Nonetheless, visualization and explorative analysis has great potential to support understanding of missingness in data, and to enable gaining of novel insights into patterns of missingness in a way that statistical methods are unable to. The Missingness Glyph supports identification of relevant missingness patterns in data, and is evaluated and compared to two other visualization methods in context of the missingness patterns. The results are promising and confirms that the Missingness Glyph in several cases perform better than the alternative visualization methods.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2022. Vol. 28, no 10, p. 3513-3529
Keywords [en]
Data visualization; Visualization; Image color analysis; Statistical analysis; Heating systems; Decision making; Uncertainty; Missing data; information visualization; glyphs
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:liu:diva-188579DOI: 10.1109/TVCG.2021.3065124ISI: 000849261100015PubMedID: 33690119OAI: oai:DiVA.org:liu-188579DiVA, id: diva2:1696786
Available from: 2022-09-19 Created: 2022-09-19 Last updated: 2022-09-19

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf