Data Visualization


Data visualization is defined as the visual representation of data. Many researchers use data visualization to better understand their data and to present it in a clear and effective manner to people who are unfamiliar with the data. Using data visualization for statistical and quantitative data can serve to communicate the findings of a particular research study more effectively. Examples of data visualization are mind maps, data graphics, and infographics.

Further Resources


Hey A, Tansley S, Tolle K, editors. (2009). The fourth paradigm: data-intensive scientific discovery [Internet](link is external). Redmond, WA: Microsoft Research.

Lord P, Macdonald A. (2003). e-Science Curation Report Data curation for e-Science in the UK : an audit to establish requirements for future curation and provision(link is external).


Golmah V. (2010). Visualization and the understanding of multidimensional data using Genetic Algorithms: Case study of load patterns of electricity customers(link is external). International Journal of Database Theory and Application, 3(4):41.

Sopan A, Noh AS-I, Karol S, Rosenfeld P, Lee G, Shneiderman B. (2012). Community Health Map: A geospatial and multivariate data visualization tool for public health datasets(link is external). Government Information Quarterly, 29(2):223–34.

Warner JL, Denny JC, Kreda DA, & Alterovitz G. (2014). Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization(link is external). Journal of the American Medical Informatics Association, 22(2), 324–329. 

West VL, Borland D, & Hammond WE. (2014). Innovative information visualization of electronic health record data: a systematic review(link is external). Journal of the American Medical Informatics Association, 22(2), 330–339.

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