Abstract
This is a short introduction to information visualisation, which is increasingly important in many fields as information expands faster than our ability to comprehend it. Visualisation makes data easier to understand through direct sensory experience (usually visual), as opposed to more linguistic/logical reasoning. This chapter examines reasons for using information visualisation both for professional data analysts and also end-users. It will also look at some of the history of visualisation (going back 4,500 years), classic examples of information visualisations, and some current challenges for visualisation research and practice. Design of effective visualisation requires an appreciation of human perceptual, cognitive and also organisational and social factors, and the chapter discusses some of these factors and the design issues and principles arising from them.
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References
Spence, B.: Information visualization: design for interaction. Prentice Hall (2007)
Pirolli, P., Rao, R.: Table lens as a tool for making sense of data. In: Proceedings of the Workshop on Advanced Visual Interfaces, pp. 67–80. ACM, New York (1996)
Furnas, G.W.: Generalized fisheye views. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 16–23. ACM, New York (1986)
Deficit, national debt and government borrowing - how has it changed since (1946), http://www.guardian.co.uk/news/datablog/2010/oct/18/deficit-debt-government-borrowing-data
Lee, P.: Lies, Damned Lies and Statistics. part of Materials for the History of Statistics (2012), http://www.york.ac.uk/depts/maths/histstat/lies.htm
UK GDP since (1948), http://www.guardian.co.uk/news/datablog+business/economicgrowth.
Adam, T., Agafonova, N., Aleksandrov, A., et al.: Measurement of the neutrino velocity with the OPERA detector in the CNGS beam. Arxiv (November 17, 2011)
Tominski, C., Abello, J., Schumann, H.: CGV–An interactive graph visualization system. Computers & Graphics 33, 660–678 (2009)
Tufte, E.: The Visual Display of Quantitative Information. Graphics Press, Cheshire (1983)
Tufte, E.: Envisioning Information. Graphics Press, Cheshire (1990)
Tufte, E.: Visual Explanations. Graphics Press, Cheshire (1997)
Robertson, G.G., Mackinlay, J.D., Card, S.K.: Cone Trees: animated 3D visualizations of hierarchical information. In: Proc. CHI 1991, pp. 189–194. ACM Press, New Orleans (1991)
2D space filling visualisation for hierarchical data
Ahlberg, C., Shneiderman, B.: Visual information seeking: tight coupling of dynamic query filters with starfield displays. In: Proceedings of the SIGCHI Conference on Human factors in Computing Systems: Celebrating Interdependence, pp. 313–317. ACM Press, New York (1994)
Mackinlay, J.D., Rao, R., Card, S.K.: An organic user interface for searching citation links. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 67–73. ACM Press/Addison-Wesley Publishing Co., New York (1995)
Keim, D.A., Hao, M.C., Dayal, U., Hsu, M.: Pixel Bar Charts: A Visualization Technique for Very Large Multi-Attribute Data Sets. Information Visualization Journal 1 (2002)
IBM Many Eyes, http://www-958.ibm.com/software/data/cognos/manyeyes/.
Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51, 107–113 (2008)
Thomas, J.J., Cook, K.A.: Illuminating the Path: The Research and Development Agenda for Visual Analytics. IEEE Press (2005)
Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F.: Mastering the Information Age Solving Problems with Visual Analytics. Eurographics Association (2011)
Lamping, J., Rao, R., Pirolli, P.: A focus+context technique based on hyperbolic geometry for visualizing large hierarchies. In: Proc. ACM CHI 1995 Conference (1995)
Ellis, G., Dix, A.: A Taxonomy of Clutter Reduction for Information Visualisation. IEEE Transactions on Visualization and Computer Graphics 13, 1216–1223 (2007)
Pirolli, P., Schank, P., Hearst, M., Diehl, C.: Scatter/Gather browsing communicates the topic structure of a very large text collection. In: Proc. CHI 1996, pp. 213–220. ACM Press, Vancouver (1996)
Mongo - The Interactive Shell (2012), http://www.mongodb.org/display/DOCS/mongo+-+The+Interactive+Shell
Pollitt, A.S., Ellis, G.P., Smith, M.P.: HIBROWSE for bibliographic database. J. Inf. Sci. 20, 413–426 (1994)
Schraefel, m.c, Karam, M., Zhao, S.: mSpace: interaction design for user-determined, adaptable domain exploration in hypermedia. In: Workshop on Adaptive Hypermedia and Adaptive Web Based Systems, pp. 217–235 (2003)
Tweedie, L., Spence, R., Dawkes, H., Su, H.: The Influence Explorer. In: Proc. ACM CHI 1995 (1996)
Tweedie, L., Spence, R., Dawkes, H., Su, H.: The Influence Explorer (video) - a tool for design. In: Proc. ACM CHI 1996 (1996)
Dix, A., Ellis, G.: By Chance - enhancing interaction with large data sets through statistical sampling. In: Proceedings of the Working Conference on Advanced Visual Interfaces, pp. 167–176. ACM, New York (2002)
Dix, A., Ellis, G.: Starting Simple - adding value to static visualisation through simple interaction. Presented at the Proceedings of Advanced Visual Interfaces, AVI 1998, L’Aquila, Italy (1998)
O’Donnell, R., Dix, A., Ball, L.: Exploring the PieTree for Representing Numerical Hierarchical Data. Presented at the Proceedings of Proceedings of HCI 2006, People and Conputers XX - Engage (2006)
Shneiderman, B., Plaisant, C.: Designing the User Interface: Strategies for Effective Human-Computer Interaction, 4th edn. Pearson Addison Wesley (2004)
Pirolli, P.: Information foraging theory: adaptive interaction with information. Oxford University Press, Oxford (2007)
Dix, A., Pohl, M., Ellis, G.: Perception and Cognitive Aspects. In: Mastering the Information Age Solving Problems with Visual Analytics, pp. 109–130. Eurographics Association (2011)
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Dix, A. (2013). Introduction to Information Visualisation. In: Agosti, M., Ferro, N., Forner, P., Müller, H., Santucci, G. (eds) Information Retrieval Meets Information Visualization. PROMISE 2012. Lecture Notes in Computer Science, vol 7757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36415-0_1
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