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Authors: Pere Millán-Martínez and Pedro Valero-Mora

Affiliation: Universitat de València, Spain

Keyword(s): Statistical Graphics Taxonomy, Data Visualization, Automatic Presentation, Visual Data Analysis, Graphic Literacy.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Databases and Visualization, Visual Data Mining ; General Data Visualization ; Knowledge-Assisted Visualization ; Visualization Taxonomies and Models

Abstract: The growing need to convert the data in databases into knowledge for a public without data visualization expertise requires the ever more precise selection of graphics to be presented to the user for consideration. This can be achieved through a more detailed characterization of the data as well as the data visualization task that the user wishes to accomplish. One way to limit the number of possible graphics based on the data is to characterize the multiple properties that can be described for each variable represented by a column of data. This paper presents seven dimensions with their respective levels that can serve as a framework for classifying statistical graphics such that their effectiveness in performing a given task may then be evaluated.

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Paper citation in several formats:
Millán-Martínez, P. and Valero-Mora, P. (2017). A Strategy for Automating the Presentation of Statistical Graphics for Users without Data Visualization Expertise - A Position Paper. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP; ISBN 978-989-758-228-8; ISSN 2184-4321, SciTePress, pages 294-298. DOI: 10.5220/0006220702940298

@conference{ivapp17,
author={Pere Millán{-}Martínez. and Pedro Valero{-}Mora.},
title={A Strategy for Automating the Presentation of Statistical Graphics for Users without Data Visualization Expertise - A Position Paper},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP},
year={2017},
pages={294-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006220702940298},
isbn={978-989-758-228-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP
TI - A Strategy for Automating the Presentation of Statistical Graphics for Users without Data Visualization Expertise - A Position Paper
SN - 978-989-758-228-8
IS - 2184-4321
AU - Millán-Martínez, P.
AU - Valero-Mora, P.
PY - 2017
SP - 294
EP - 298
DO - 10.5220/0006220702940298
PB - SciTePress

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