Interactive Data Wrangling
Interactive Data Wrangling is a data wrangling paradigm that enables real-time, user-driven manipulation and transformation of data through immediate feedback and iterative exploration, distinguishing itself from batch or automated approaches by emphasizing human-in-the-loop interaction during the data preparation process.
15
Publications
1.6K
Citations
43
Authors
34
Institutions
Publications per year
2017–2026
7
Parents
15
Sean Kandel, Andreas Paepcke, Joseph M. Hellerstein et al. · 2011 · 578 citations
Neeraja J. Yadwadkar, Ganesh Ananthanarayanan, Randy H. Katz · 2014 · 118 citations
Philip J. Guo, Sean Kandel, Joseph M. Hellerstein et al. · 2011 · 109 citations
1–5 of 15
43
3
h-index
3
h-index
University of California, Berkeley, United States
2 publications · 687 citations
2
h-index
2
h-index
2
h-index
1–5 of 43
34
Microsoft (United States)
Redmond, United States
4 h-index
7 publications
1.1K citations
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
923 citations
Stanford University
Stanford, United States
3 h-index
8 publications
2.7K citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
18 citations
Charles University
Prague, Czechia
1 h-index
1 publications
18 citations
Amazon (United Kingdom)
London, United Kingdom
1 h-index
1 publications
18 citations
Institute for Cognitive Science Studies
Tehran, Iran
1 h-index
2 publications
48 citations

University of Glasgow
Glasgow, United Kingdom
1 h-index
1 publications
82 citations
1–8 of 34
1 publications · 331 citations
1
h-index
TVCG · 1 publications · 24 citations
1
h-index
TKDE · 1 publications · 18 citations
1
h-index
JSE · 1 publications · 26 citations
1
h-index
1 publications · 10 citations
1
h-index
1–5