Data visualisations in SSIX?

SSIX captures and analyses financial sentiment from Twitter. In order to make sense of the ever-increasing amount of data, visualisations are essential tools to facilitate viewing, understanding and analysing the data. This includes examining the context as well as understanding general data visualization design principles.

Context of financial data visualisations

Most of the current data visualisations in the financial sector, or, more specifically, regarding the stock markets utilise bar and line graphs, area and candlestick charts as well as treemaps, mainly in red (negative) and green (positive). Sentiment visualisations tend to favour line graphs and histograms, especially for temporal data representations. This is not to limit future depictions of financial data but to acknowledge the ‘added learning’ that would need to take place when using other chart types in particular.

General data visualization design principles

The overall purpose of data visualisations is to enable the viewer to view, understand and, ultimately, analyse the data. Good visualisations involve users to discover insights yet maintain aesthetic appeal as this increases user's’ initial engagement. This is why design principles concerning colours, composition and visual variables are essential in supporting users to understand and be able to analyse the data.

As such, a data visualisation module was devised for NUI Galway that looks at the following topics:

Recommended Reading:

Ben Shneiderman. The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, Proc. 1996 IEEE Vis

Hearst, M. A. TileBars: visualization of term distribution information in full text information access. In CHI '95: Proceedings of the SIGCHI Conference on Human factors in computing systems. ACM, New York, NY, USA, 59-66, 1995.

Harald Reiterer, Gabriela Tullius, Thomas M. Mann. INSYDER: a content-based visual-information-seeking system for the Web. International Journal on Digital Libraries, Volume 5(1), 2005.

Yee, K.-P., Swearingen, K., Li, K., and Hearst, M. Faceted metadata for image search and browsing. In CHI '03: Proc. of the SIGCHI Conf. on Human factors in computing systems.ACM, New York, NY, USA, 401-408, 2003.

Collins, C., Carpendale, S., and Penn, G. DocuBurst: Visualizing Document Content using Language Structure. Computer Graphics Forum 28, 3, 1039-1046,2009.

van Ham, F., Wattenberg, M., and Viegas, F. B. Mapping Text with Phrase Nets. IEEE Transactions on Visualization and Computer Graphics 15, 6 (Nov. 2009), 1169-1176. DOI=,2009.

Assogba, Y., Ros, I., and McKeon, M. DocBlocks: communication-minded visualization of topics in U.S. Congressional bills. In CHI EA '10: Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems. ACM, New York, NY, USA, 4117-4122, 2010.

Daniela Oelke, Ming Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko . Visual Opinion Analysis of Customer Feedback Data. In VAST'09: Proceedings of the IEEE Symposium on Visual Analytics Science and Technology. IEEE Computer Society, 2009.

Viegas, F. B., Wattenberg, M., and Feinberg, J. 2009. Participatory Visualization with Wordle. IEEE Transactions on Visualization and Computer Graphics 15, 6 (Nov. 2009), 1137-1144. DOI=

Harrower, M., & Brewer, C. A. (2003). ColorBrewer. org: an online tool for selecting colour schemes for maps. The Cartographic Journal, 40(1), 27-37.

Kosara, Robert, and Mackinlay, Jock. Storytelling: The Next Step for Visualization. IEEE Computer 46.5 (2013) : 44-50.

Few, Stephen. Data Visualisation for Human Perception. Encyclopedia of Human Computer Interaction. Chapter 35.

Fry, Benjamin Jotham. Computational Information Design. Sciences New York Ph. D.May 1997 (2004) : 170.

Healey, Christopher. Perception in Visualisation. IEEE Transactions on Visualizations and Computer Graphics, Vol. 18, No. 7, July 2012, pages 1170 – 1188.

Borland, David, and Taylor, Russell M. Rainbow color map (still) considered harmful. IEEE Computer Graphics and Applications 2007. Vol 27, issue 2. 14 - 17.