Statistical Data Summarization

Statistical Data Summarization is a data profiling method that characterizes the distribution, central tendency, dispersion, and shape of a dataset’s variables through descriptive statistical measures to identify anomalies, patterns, and data quality issues.

75

Publications

15.4K

Citations

176

Authors

80

Institutions

Publications per year

2017–2026

20

Authors

176

  1. JC
    Jen‐Ping Chen

    National Taiwan University, Taiwan

    3 publications · 104 citations

    3

    h-index

  2. SD
    Soumya Dutta

    The Ohio State University, United States

    3 publications · 104 citations

    3

    h-index

  3. HS
    Han‐Wei Shen

    The Ohio State University, United States

    3 publications · 104 citations

    3

    h-index

  4. AS
    Arie Shoshani

    Lawrence Berkeley National Laboratory, United States

    2 publications · 366 citations

    2

    h-index

  5. TM
    Thomas M. Stoker

    Massachusetts Institute of Technology, United States

    2 publications · 841 citations

    2

    h-index

1–5 of 176

Venues

  1. Technometrics

    6 publications · 7.4K citations

    6

    h-index

  2. 3

    h-index

  3. Statistics in Medicine

    2 publications · 58 citations

    2

    h-index

  4. The American Statistician

    2 publications · 26 citations

    2

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 74 citations

    2

    h-index

1–5