Tabular Data Interpretation
Tabular Data Interpretation is a methodological framework within data interpretation assessment that specifically involves the analysis and extraction of meaningful patterns, relationships, or insights from structured numerical or categorical data organized in rows and columns.
94
Publications
11.1K
Citations
260
Authors
126
Institutions
Publications per year
2017–2026
38
94
Free software helps map and display data
Paul Wessel, Walter H. F. Smith · Eos · 1991 · 4.1K citations
Group-Based Trajectory Modeling: An Overview
Daniel S. Nagin · Annals of Nutrition and Metabolism · 2014 · 675 citations · Full text
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University of North Carolina at Chapel Hill, United States
2 publications · 250 citations
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1–5 of 260
126
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
3.4K citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
449 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
282 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
5 publications
546 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
4 publications
500 citations
Technical University of Munich
Munich, Germany
2 h-index
5 publications
255 citations

University of Minnesota
Minneapolis, United States
2 h-index
3 publications
45 citations

University of Milan
Milan, Italy
2 h-index
4 publications
97 citations
1–8 of 126
Repository · 5 publications · 142 citations
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PVLDB · 3 publications · 148 citations
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3 publications · 254 citations
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2 publications · 47 citations
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TVCG · 3 publications · 228 citations
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