A Strategy for Automating the Presentation of Statistical Graphics for Users without Data Visualization Expertise - A Position Paper

Pere Millán-Martínez, Pedro Valero-Mora

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 Harvard Style

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 - Volume 3: IVAPP, (VISIGRAPP 2017) ISBN 978-989-758-228-8, pages 294-298. DOI: 10.5220/0006220702940298


in Bibtex Style

@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 - Volume 3: IVAPP, (VISIGRAPP 2017)},
year={2017},
pages={294-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006220702940298},
isbn={978-989-758-228-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017)
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
AU - Millán-Martínez P.
AU - Valero-Mora P.
PY - 2017
SP - 294
EP - 298
DO - 10.5220/0006220702940298