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Author: Pierre-Simon, Marquis de Laplace (1749-1827)

The central limit theorem explains why many distributions tend to be close to the normal distribution. The key ingredient is that the random variable being observed should be the sum or mean of many independent identically distributed random variables.

Category: Statistics & Graphics

This web version is dedicated to Arthur H. Robinson (1915-2004), who inspired and encouraged our interest; to Antoine de Falguerolles, who initiated it, and to les Chevaliers des Album de Statistique Graphique, who supported it with interest, enthusiasm, and resources. In particular, Gilles Palsky, Antoine de Falguerolles, Antony Unwin and Ruddy Ostermann contributed important images and background information. This work is supported by the National Sciences and Engineering Research Council of Canada, Grant OGP0138748.

Citations: References to information or images obtained from this web site should be cited as follows:
Friendly, M. & Denis, D. J. (2001). Milestones in the history of thematic cartography, statistical graphics, and data visualization. Web document, http://www.datavis.ca/milestones/. Accessed: