Collaborative Exploratory Data Analysis
Collaborative Exploratory Data Analysis is a collaborative sensemaking process in which multiple analysts jointly engage in iterative data investigation, visualization, and interpretation to uncover underlying patterns, generate hypotheses, and develop shared understanding through coordinated, interactive, and often distributed analytical activities.
63
Publications
6.1K
Citations
345
Authors
130
Institutions
Publications per year
2017–2026
24
Parents
63
Exploration and Explanation in Computational Notebooks
Adam Rule, Aurélien Tabard, James D. Hollan · 2018 · 331 citations · Full text
1–5 of 63
345
3
h-index
3
h-index
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 717 citations
3
h-index
2
h-index
2
h-index
1–5 of 345
130
University of Michigan
Ann Arbor, United States
4 h-index
10 publications
198 citations

Pennsylvania State University
State College, United States
4 h-index
10 publications
6.1K citations
Google (United States)
Mountain View, United States
3 h-index
3 publications
743 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
86 citations
Microsoft (United States)
Redmond, United States
3 h-index
5 publications
409 citations

University of Calgary
Calgary, Canada
3 h-index
4 publications
769 citations
Stanford University
Stanford, United States
3 h-index
4 publications
422 citations
University of Chicago
Chicago, United States
3 h-index
17 publications
1.5K citations
1–8 of 130
TVCG · 3 publications · 888 citations
3
h-index
2 publications · 1.9K citations
2
h-index
2 publications · 100 citations
2
h-index
1 publications · 10 citations
1
h-index
1 publications · 31 citations
1
h-index
1–5