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
Read more about this topic: Data Set
Famous quotes containing the words classic, data and/or sets:
“There is a distinction to be drawn between true collectors and accumulators. Collectors are discriminating; accumulators act at random. The Collyer brothers, who died among the tons of newspapers and trash with which they filled every cubic foot of their house so that they could scarcely move, were a classic example of accumulators, but there are many of us whose houses are filled with all manner of things that we “can’t bear to throw away.””
—Russell Lynes (1910–1991)
“To write it, it took three months; to conceive it three minutes; to collect the data in it—all my life.”
—F. Scott Fitzgerald (1896–1940)
“A continual feast of commendation is only to be obtained by merit or by wealth: many are therefore obliged to content themselves with single morsels, and recompense the infrequency of their enjoyment by excess and riot, whenever fortune sets the banquet before them.”
—Samuel Johnson (1709–1784)