Interactive and dynamic statistical graphics allow data analysts from all statistical disciplines to quickly carry out multiple visual investigations with the goal of obtaining insights into relationships for all kinds of data – from simple to complex. Often, there are no previously established hypotheses for these data, or the data set may be too big and heterogeneous for simple summaries and statistical models.
Interactive graphics and dynamic graphics are two closely related, but different, terms. On one hand, interactive graphics allow a data analyst to interact with graphical displays, typically via a computer. Depending on keystrokes, movements of the mouse, or clicks on the mouse buttons, different follow-up graphics will be produced. On the other hand, dynamic graphics display a sequence of plots without any additional user interaction. This can be some continuous rotation of a point cloud or updating plots in real time, based on additional data obtained from simulations or via...
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References and Further Reading
Cook D, Swayne DF (2007) Interactive and dynamic graphics for data analysis – with R and GGobi. Springer, New York, NY
Dale AM, Strickland J, Symanzik J, Franzblau A, Evanoff B (2008) Reliability of hand diagrams for epidemiologic case definition of carpal tunnel syndrome. J Occup Rehabil 18(3):233–248
Rosling H, Johansson C (2009) Gapminder: liberating the x-axis from the burden of time. Stat Comp Stat Gr Newslett 20(1):4–7
Symanzik J (2004) Interactive and dynamic graphics. In: Gentle JE, Härdle W, Mori Y (eds) Handbook of computational statistics – concepts and methods. Springer, Berlin, Heidelberg, pp 293–336
Theus M, Urbanek S (2004) iPlots : interactive graphics for R. Stat Comp Stat Gr Newslett 15(1):11–14
Theus M, Urbanek S (2009) Interactive graphics for data analysis: principles and examples. Chapman and Hall/CRC, Boca Raton, FL
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Symanzik, J. (2011). Interactive and Dynamic Statistical Graphics. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_306
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