Narrative visualization of open data

Ackermann, Philipp; Stockinger, Kurt

doi:10.1007/978-3-030-11821-1_14

Publication type:	Book part
Type of review:	Editorial review
Title:	Narrative visualization of open data
Authors:	Ackermann, Philipp Stockinger, Kurt
et. al:	No
DOI:	10.1007/978-3-030-11821-1_14
Published in:	Applied data science : lessons learned for the data-driven business
Page(s):	251
Pages to:	264
Issue Date:	2019
Publisher / Ed. Institution:	Springer
Publisher / Ed. Institution:	Cham
ISBN:	978-3-030-11820-4 978-3-030-11821-1
Language:	English
Subjects:	Open data; Visualization; Data modeling
Subject (DDC):	005: Computer programming, programs and data
Abstract:	Several governments around the globe have recently released significant amounts of open data to the public. The main motivation is that citizens or companies use these datasets and develop new data products and applications by either enriching their existing data stores or by smartly combining datasets from various open data portals. In this chapter, we first describe the development of open data over the last few years and briefly introduce the open data portals of the USA, the EU, and Switzerland. Next we will explain various methods for information visualization. Finally, we describe how we combined methods from open data and information visualization. In particular, we show how we developed visualization applications on top of the Swiss open data portal that enable web-based, interactive information visualization as well as a novel paradigm—narrative visualization.
URI:	https://digitalcollection.zhaw.ch/handle/11475/17804
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Applied Information Technology (InIT)
Appears in collections:	Publikationen School of Engineering

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