Abstract
For the 2006 ASA Data Exposition we created graphics that, in the legacy of John Tukey, tried to “force the unexpected upon us” (Tukey in Proceedings of the 18th conference on design of experiments in Army research and development I, Washington, 1972). The data were geographic and meteorological measurements taken every month for 6 years on a coarse 24 by 24 grid covering Central America. Using conventional static graphics and some less conventional interactive graphics, we were able to find expected features in the data, such as seasonal patterns, spatial correlations, and El Niño events, as well as some more surprising results, several of which were corroborated by stories in the news.
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References
Becker RA, Cleveland WS, Wilks A (1988) Dynamic graphics for data analysis. In: Cleveland and McGill (1988)
Bove MC, O’Brien JJ, Eisner JB, Landsea CW, Niu X (1998) Effect of El Niño on US landfalling hurricanes, revisited. Bull Am Meteorolog Soc 79(11): 2477–2482
Buja A, Asimov D, Hurley C, McDonald JA (1988) Elements of a viewing pipeline for data analysis. In: Cleveland and McGill, pp 277–308
Chatfield C (1995) Problem solving: a statistician’s guide. Chapman and Hall. http://www.crc.com
Cleveland, WS, McGill, ME (eds) (1988) Dynamic graphics for statistics. Wadsworth, Monterey
Cook D, Buja A (1997) Manual controls for high-dimensional data projections. J Comput Graph Stat 6(4):464–480, also see www.public.iastate.edu/~dicook/research/papers/manip.html
Cook D, Lee EK, Buja A, Wickham H (2006) Grand tours, projection pursuit guided tours and manual controls. In: Handbook of data visualization. Springer. http://www.springer.com (to appear)
Gribov A, Unwin A, Hofmann H (2006) About glyphs and small multiples: gauguin and the expo. Statistical computing and graphics newsletter 17(2):14–17. http://www.amstat-online.org/sections/graphics/newsletter/new%sletter.html
Johnson RA, Wichern DW (2002) Applied multivariate statistical analysis, 5th edn. Prentice-Hall, Englewood Cliffs
Lawrence M, Wickham H (2006) Rggobi: linking R and GGobi. R package version 2.1.4
McDonald JA (1982) Interactive graphics for data analysis. Technical report orion II, Statistics Department, Stanford University
R Development Core Team (2006) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org, ISBN 3-900051-07-0
Rossow WB, Schiffer RA (1991) ISCCP cloud data products. Bull Am Meteorolog Soc 72(1): 2–20
Swayne DF, Temple Lang D, Buja A, Cook D (2003) Ggobi: evolving from XGobi into an extensible framework for interactive data visualization. J Comput Stat Data Anal 43:423–444. http://authors.elsevier.com/sd/article/S0167947302002864
Tukey JW (1972) Exploratory data analysis: as part of a larger whole. In: Proceedings of the 18th conference on design of experiments in Army research and development I. Washington, DC, p 1010
Ulaby FT, Moore RK, Fung AK (1981) Microwave remote sensing: active and passive, vol 1. Addison-Wesley, Reading
Unwin A, Hawkins G, Hofmann H, Siegl B (1996) Interactive graphics for data sets with missing values—MANET. J Comput Graph Stat 5(2): 113–122
Wickham H (2009) ggplot2: elegant graphics for data analysis. Springer, Berlin
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Hobbs, J., Wickham, H., Hofmann, H. et al. Glaciers melt as mountains warm: a graphical case study. Comput Stat 25, 569–586 (2010). https://doi.org/10.1007/s00180-010-0202-8
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DOI: https://doi.org/10.1007/s00180-010-0202-8