Visual Data Wrangling
Visual Data Wrangling is an interactive data exploration method that enables users to transform, clean, and restructure raw datasets into analysis-ready formats through visual interfaces and direct manipulation techniques.
14
Publications
1.4K
Citations
52
Authors
27
Institutions
Publications per year
2017–2026
9
Parents
14
Sean Kandel, Andreas Paepcke, Joseph M. Hellerstein et al. · 2011 · 578 citations
Neeraja J. Yadwadkar, Ganesh Ananthanarayanan, Randy H. Katz · 2014 · 118 citations
Zhongjun Jin, Michael R. Anderson, Michael Cafarella et al. · 2017 · 112 citations · Full text
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University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
848 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
799 citations
Stanford University
Stanford, United States
2 h-index
5 publications
2.4K citations
University of Michigan
Ann Arbor, United States
2 h-index
8 publications
508 citations
Carleton College
Northfield, United States
1 h-index
2 publications
52 citations

Zhejiang University of Technology
Hangzhou, China
1 h-index
1 publications
24 citations
Institute for Cognitive Science Studies
Tehran, Iran
1 h-index
2 publications
48 citations
Daffodil International University
Dhaka, Bangladesh
1 h-index
4 publications
88 citations
1–8 of 27
1 publications · 22 citations
1
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1 publications · 331 citations
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JSE · 1 publications · 26 citations
1
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TVCG · 1 publications · 24 citations
1
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1 publications · 35 citations
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