Concepedia

Explanatory Data Visualization

Explanatory Data Visualization is a form of data visualization that belongs to the broader category of data presentation techniques and is distinguished by its intentional design to communicate specific insights, patterns, or conclusions derived from data, often through narrative structuring, visual emphasis, and annotation, to inform or persuade a target audience.

3

Publications

194

Citations

7

Authors

3

Institutions

Publications per year

2017–2026

3

Parents

Publications

3

1–3 of 3

Authors

7

  1. HZ
    Hongjian Zhang

    Hokkaido University, Japan

    1 publications · 103 citations

    1

    h-index

  2. AB
    Anna Bernasconi

    Politecnico di Milano, Italy

    1 publications · 33 citations

    1

    h-index

  3. LT
    Lena Tibell

    Linköping University, Sweden

    1 publications · 58 citations

    1

    h-index

  4. AY
    Anders Ynnerman

    Linköping University, Sweden

    1 publications · 58 citations

    1

    h-index

  5. SG
    Silvia Grandi

    University of Bologna, Italy

    1 publications · 33 citations

    1

    h-index

1–5 of 7

Institutions

3

  1. University of Bologna

    Bologna, Italy

    1 h-index

    1 publications

    33 citations

  2. Hokkaido University

    Sapporo, Japan

    1 h-index

    2 publications

    206 citations

  3. Politecnico di Milano

    Milan, Italy

    1 h-index

    1 publications

    33 citations

1–3 of 3

Venues

  1. Bioengineering

    1 publications · 103 citations

    1

    h-index

  2. Information

    1 publications · 33 citations

    1

    h-index

  3. IEEE Computer Graphics and Applications

    1 publications · 58 citations

    1

    h-index

1–3