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

Authors

52

  1. MC
    Michael Cafarella

    University of Michigan, United States

    2 publications · 127 citations

    2

    h-index

  2. HV
    H. V. Jagadish

    University of Michigan, United States

    2 publications · 127 citations

    2

    h-index

  3. MR
    Michael R. Anderson

    University of Michigan, United States

    2 publications · 127 citations

    2

    h-index

  4. JH
    Jeffrey Heer

    University of Washington, United States

    2 publications · 909 citations

    2

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  5. SK
    Sean Kandel

    Stanford University, United States

    2 publications · 909 citations

    2

    h-index

1–5 of 52

Venues

  1. Computer Graphics Forum

    1 publications · 22 citations

    1

    h-index

  2. Information Visualization

    1 publications · 331 citations

    1

    h-index

  3. Journal of Statistics Education

    JSE · 1 publications · 26 citations

    1

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 24 citations

    1

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 35 citations

    1

    h-index

1–5