A Typology for Data Visualization on the Web

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The need to visualize data has emerged from the research field, it has been a useful tool to the study of scientific problems. However the truth is that data visualization is a great way to present data for any area dealing with information, because visually presented information is not only more appealing due to its use of pictograms and colours, but also more efficient in conveying large amounts of information. Throughout the years there have been efforts to develop a classification for these visualizations, in order to provide a better understanding of this way to present data. There are many different classifications but none of them is fully complete. In this paper it is discussed and developed a typology for online data visualization and info graphics. Such a typology will be relevant for a better understanding of what kinds of visualizations exist and in further research to better identify which elements compose a good visualization that is pleasing to the public.
Original languageEnglish
Title of host publicationIEEE Conference Publications - Information Visualisation (IV), 2013 17th International Conference
EditorsEbad Banissi , Hanane Azzag , Mark W. McK. Bannatyne , Stefan Bertschi , Fatma Bouali , Remo Burkhard , John Counsell , Alfredo Cuzzocrea , Martin J. Eppler , Barbara Hammer , Mustapha Lebbah , Francis T. Marchese , Muhammad Sarfraz , Anna Ursyn , Gilles Venturini , Theodor G. Wyeld
Place of PublicationLondon
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages351 - 358
Number of pages8
ISBN (Electronic)978-0-7695-5049-7
Publication statusPublished - 2013

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