Descriptive Analytics

Descriptive analytics is a form of data analytics that examines historical or current data to identify, summarize, and interpret patterns and trends without determining causality or predicting future outcomes.

58

Publications

3.6K

Citations

141

Authors

77

Institutions

Publications per year

2017–2026

32

Authors

141

  1. JL
    Joel L. Pick

    University of Zurich, Switzerland

    2 publications · 263 citations

    2

    h-index

  2. DW
    Daniel W. A. Noble

    UNSW Sydney, Australia

    2 publications · 263 citations

    2

    h-index

  3. RB
    Ron Berman

    University of Pennsylvania, United States

    2 publications · 118 citations

    2

    h-index

  4. SN
    Shinichi Nakagawa

    UNSW Sydney, Australia

    2 publications · 263 citations

    2

    h-index

  5. AI
    Ayelet Israeli

    Harvard University, United States

    2 publications · 118 citations

    2

    h-index

1–5 of 141

Venues

  1. Decision Sciences Journal of Innovative Education

    DSJIE · 2 publications · 35 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 74 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 55 citations

    1

    h-index

  4. Education Sciences

    1 publications · 10 citations

    1

    h-index

  5. Diabetes

    1 publications · 241 citations

    1

    h-index

1–5

See also

Descriptive Analytics

Core Methods

Summary Metrics

Data Visualization

Applications

Limitations