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)