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Authors: Paulo Carvalho 1 ; Patrik Hitzelberger 2 ; Benoît Otjacques 2 ; Fatma Bouali 3 and Gilles Venturini 3

Affiliations: 1 Gabriel Lippmann Public Research Center and University François Rabelais of Tours, Luxembourg ; 2 Gabriel Lippmann Public Research Center, Luxembourg ; 3 University François Rabelais of Tours, France

Keyword(s): CSV, Information Visualization, InfoVis, Open Data, Table structure, Tabular Information Visualization.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Graph Visualization ; Information and Scientific Visualization ; Perception and Cognition in Visualization ; Visualization Applications

Abstract: New and different information sources have appeared over the past years (e.g. Blogs, Media, Open Data, Scientific Data and Social Networks). The variety of these sources is growing and the related data volume increases exponentially. Open Data (OD) initiatives and platforms are one of the current major data producers, also because the topic seems to be important for many governments world-wide. Given the many fields and sectors involved, OD brings high business and societal potential. The amount and diversity of available information is high. However, analysing and understanding OD in order to exploit is far from being an easy task. Several problems and constraints must be solved. Information Visualization (InfoVis) can help to give a graphical idea of the processed files structure. Given that OD is provided very often as tabular data, this paper focuses on OD CSV files. It presents an overview on the analysis of tabular information. Finally, the paper describes the role of Informati on Visualization and the way it may help the end-user to understand quickly the structure and issues of OD CSV files. (More)

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Paper citation in several formats:
Carvalho, P. ; Hitzelberger, P. ; Otjacques, B. ; Bouali, F. and Venturini, G. (2015). Information Visualization for CSV Open Data Files Structure Analysis. In Proceedings of the 6th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2015) - IVAPP; ISBN 978-989-758-088-8; ISSN 2184-4321, SciTePress, pages 101-108. DOI: 10.5220/0005265301010108

@conference{ivapp15,
author={Paulo Carvalho and Patrik Hitzelberger and Benoît Otjacques and Fatma Bouali and Gilles Venturini},
title={Information Visualization for CSV Open Data Files Structure Analysis},
booktitle={Proceedings of the 6th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2015) - IVAPP},
year={2015},
pages={101-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005265301010108},
isbn={978-989-758-088-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2015) - IVAPP
TI - Information Visualization for CSV Open Data Files Structure Analysis
SN - 978-989-758-088-8
IS - 2184-4321
AU - Carvalho, P.
AU - Hitzelberger, P.
AU - Otjacques, B.
AU - Bouali, F.
AU - Venturini, G.
PY - 2015
SP - 101
EP - 108
DO - 10.5220/0005265301010108
PB - SciTePress