Data Wrangling

Data Wrangling is a data preparation process that involves cleaning, transforming, and structuring raw data into a consistent and analyzable format for subsequent analysis within the domain of Data Analytics.

32

Publications

1.9K

Citations

89

Authors

42

Institutions

Publications per year

2017–2026

24

Authors

89

  1. NW
    Norman W. Paton

    University of Manchester, United Kingdom

    6 publications · 209 citations

    6

    h-index

  2. AA
    Alvaro A. A. Fernandes

    University of Manchester, United Kingdom

    5 publications · 137 citations

    5

    h-index

  3. MK
    Martin Koehler

    University of Manchester, United Kingdom

    5 publications · 137 citations

    5

    h-index

  4. GG
    Georg Gottlob

    TU Wien, Austria

    4 publications · 160 citations

    4

    h-index

  5. EW
    E. W. Abel

    University of Exeter, United Kingdom

    4 publications · 104 citations

    4

    h-index

1–5 of 89

Venues

  1. 1

    h-index

  2. Harvard Data Science Review

    1 publications · 24 citations

    1

    h-index

  3. Nature

    1 publications · 30 citations

    1

    h-index

  4. Investigación y Educación en Enfermería

    1 publications · 56 citations

    1

    h-index

  5. SN Computer Science

    1 publications · 33 citations

    1

    h-index

1–5