Data Exploration
Data Exploration is a systematic analytical process within the domain of interactive data analysis that involves the iterative examination and visualization of datasets to identify patterns, anomalies, and underlying structures without predefined hypotheses.
1.1K
Publications
100.5K
Citations
3.9K
Authors
1.3K
Institutions
Publications per year
2017–2026
441
1.1K
mixOmics: An R package for ‘omics feature selection and multiple data integration
Florian Rohart, Benoît Gautier, Amrit Singh et al. · PLoS Computational Biology · 2017 · 3.9K citations · Full text
Carolin Strobl, James D. Malley, Gerhard Tutz · Psychological Methods · 2009 · 2.6K citations · Full text
Anvi’o: an advanced analysis and visualization platform for ‘omics data
A. Murat Eren, Özcan C. Esen, Christopher Quince et al. · PeerJ · 2015 · 2.1K citations · Full text
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Microsoft (United States)
Redmond, United States
22 h-index
47 publications
3.3K citations

Centre National de la Recherche Scientifique
Paris, France
18 h-index
43 publications
4.5K citations
University of California, Davis
Davis, United States
16 h-index
60 publications
2K citations

Harvard University Press
Cambridge, United States
16 h-index
37 publications
2.1K citations
University of Maryland, College Park
College Park, United States
14 h-index
34 publications
1.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
14 h-index
56 publications
2.7K citations

The University of Melbourne
Melbourne, Australia
13 h-index
28 publications
11.1K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
28 publications
1.8K citations
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TVCG · 72 publications · 7.6K citations
41
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Repository · 26 publications · 1.1K citations
19
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20 publications · 1.7K citations
17
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21 publications · 3.1K citations
16
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PVLDB · 17 publications · 525 citations
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