Data Set - Classic Data Sets

Classic Data Sets

Several classic data sets have been used extensively in the statistical literature:

  • Iris flower data set - multivariate data set introduced by Ronald Fisher (1936).
  • Categorical data analysis - Data sets used in the book, An Introduction to Categorical Data Analysis, by Agresti are provided on-line by StatLib.
  • Robust statistics - Data sets used in Robust Regression and Outlier Detection (Rousseeuw and Leroy, 1986). Provided on-line at the University of Cologne.
  • Time series - Data used in Chatfield's book, The Analysis of Time Series, are provided on-line by StatLib.
  • Extreme values - Data used in the book, An Introduction to the Statistical Modeling of Extreme Values are provided on-line by Stuart Coles, the book's author.
  • Bayesian Data Analysis - Data used in the book are provided on-line by Andrew Gelman, one of the book's authors.
  • The Bupa liver data, used in several papers in the machine learning (data mining) literature.
  • Anscombe's quartet Small dataset illustrating the importance of graphing the data to avoid statistical fallacies

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