17Interactive Visualization in R
Adding interactivity to a visualization provides an additional mechanism through which data can be presented in an engaging, efficient, and communicative way. Interactions can allow users to effectively explore large data sets by panning and zooming through plots, or by hovering over specific plot geometry to gain additional details on demand.1
1Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. Proceedings of the. 1996 IEEE Symposium on Visual Languages (pp. 336–). Washington, DC: IEEE Computer Society. http://dl.acm.org/citation.cfm?id=832277.834354
While ggplot2 is the definitive, leading package for making static plots in R, there is not a comparably popular ...
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