Missing Data Visualization
Missing Data Visualization is a visualization technique that specifically represents gaps or absent values within temporal data sequences, distinguishing itself by encoding the presence, pattern, and extent of missingness alongside observed time-series observations.
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Publications
1.3K
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51
Authors
24
Institutions
Publications per year
2017–2026
6
21
Imputation with the <i>R</i> Package <b>VIM</b>
Alexander Kowarik, Matthias Templ · Journal of Statistical Software · 2016 · 648 citations · Full text
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University of California, Santa Cruz
Santa Cruz, United States
2 h-index
4 publications
72 citations

TU Wien
Vienna, Austria
2 h-index
8 publications
420 citations
Statistics Austria
Vienna, Austria
2 h-index
3 publications
1.4K citations
Goddard Space Flight Center
Greenbelt, United States
2 h-index
6 publications
90 citations

University of Skövde
Skövde, Sweden
1 h-index
2 publications
32 citations
Laboratoire d'Informatique de Paris-Nord
Villetaneuse, France
1 h-index
2 publications
20 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
1 h-index
5 publications
80 citations
KU Leuven
Leuven, Belgium
1 h-index
1 publications
115 citations
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JCGS · 2 publications · 178 citations
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JSS · 2 publications · 674 citations
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TVCG · 2 publications · 94 citations
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Conference · 2 publications · 27 citations
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1 publications · 22 citations
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