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Data visualisation

Basics of data visualisation - what it is, techniques, how to create visualisations, tools and software.

Resources used for this guide

Erl, T., Khattak, W., & Buhler, P. (2016). Big data fundamentals: Concepts, drivers and techniques. Boston: Prentice Hall.

Friendly, M. & Denis, D. J. (2001). Milestones in the history of thematic cartography, statistical graphics, and data visualization. Retrieved from http://www.datavis.ca/milestones/

Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. Hoboken, N.J.: Wiley

Meloncon, L., & Warner, E. (2017). Data visualizations: A literature review and opportunities for technical and professional communication. Paper presented at the Professional Communication Conference (ProComm), 2017 IEEE International, Madison, WI, USA.

National Eye Institute. (2015). Facts about color blindness. Retrieved from https://nei.nih.gov/health/color_blindness/facts_about

Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. Paper presented at the Proceedings of IEEE Symposium on Visual Languages Boulder, Colorado.

Ward, M. O., Grinstein, G., & Keim, D. (2015). Interactive data visualization: Foundations, techniques, and applications. Retrieved from http://ebookcentral.proquest.com/lib/uql/detail.action?docID=1786691

Wikipedia. (2017). Information visualisation. Retrieved from https://en.wikipedia.org/wiki/Information_visualization

Wikipedia. (2017). Scientific visualization. Retrieved from https://en.wikipedia.org/wiki/Scientific_visualization