Author
Listed:
- Natalia Andrienko
(Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
City, University of London, Northampton Square, Department of Computer Science)
- Gennady Andrienko
(Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
City, University of London, Northampton Square, Department of Computer Science)
- Georg Fuchs
(Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven)
- Aidan Slingsby
(City, University of London, Northampton Square, Department of Computer Science)
- Cagatay Turkay
(University of Warwick, Centre for Interdisciplinary Methodologies)
- Stefan Wrobel
(Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
University of Bonn)
Abstract
An illustrated example of problem solving is meant to demonstrate how visual representations of data support human reasoning and deriving knowledge from data.We argue that human reasoning plays a crucial role in solving non-trivial problems. Even when the primary goal of data analysis is to create a predictive model to be executed by computers, this cannot be done without human reasoning and derivation of new knowledge, which includes understanding of the analysis subject and knowledge of the computer model built. Reasoning requires conveying information to the human’s mind, and visual representations are best suited for this. Visual analytics focuses on supporting human analytical reasoning and develops approaches combining visualisations, interactive operations, and computational processing. The underlying idea is to enable synergistic joint work of humans and computers, in which each side can effectively utilise its unique capabilities. The ideas and approaches of visual analytics are therefore very relevant to data science.
Suggested Citation
Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020.
"Introduction to Visual Analytics by an Example,"
Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 3-25,
Springer.
Handle:
RePEc:spr:sprchp:978-3-030-56146-8_1
DOI: 10.1007/978-3-030-56146-8_1
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