Editing Data set (section)

== Classics ==
Several classic data sets have been used extensively in the [[statistical]] literature:

* [[Iris flower data set]] – Multivariate data set introduced by [[Ronald Fisher]] (1936).<ref name="fisher36">{{cite journal|author=Fisher, R.A.|title=The Use of Multiple Measurements in Taxonomic Problems|journal=[[Annals of Eugenics]]|volume=7|pages=179&ndash;188|year=1963|issue=2|url=http://digital.library.adelaide.edu.au/coll/special//fisher/138.pdf|doi=10.1111/j.1469-1809.1936.tb02137.x|hdl=2440/15227|hdl-access=free|access-date=2007-05-22|archive-date=2011-09-28|archive-url=https://web.archive.org/web/20110928044802/http://digital.library.adelaide.edu.au/coll/special//fisher/138.pdf|url-status=dead}}</ref> [https://archive.ics.uci.edu/ml/datasets/Iris Provided online by University of California-Irvine Machine Learning Repository].<ref>{{cite web |url=https://archive.ics.uci.edu/ml/datasets/Iris |title=UCI Machine Learning Repository: Iris Data Set |access-date=2023-05-02 |url-status=live |archive-url=https://web.archive.org/web/20230426065109/https://archive.ics.uci.edu/ml/datasets/Iris |archive-date=2023-04-26}}</ref>
* [[MNIST database]] – Images of handwritten digits commonly used to test classification, clustering, and [[Digital image processing|image processing]] algorithms
* ''[[Categorical data analysis]]'' – Data sets used in the book, ''An Introduction to Categorical Data Analysis'', [https://stats.oarc.ucla.edu/other/examples/icda/ provided online] by UCLA Advanced Research Computing.<ref>{{cite web |url=https://stats.oarc.ucla.edu/other/examples/icda/ |title=Textbook Examples An Introduction to Categorical Data Analysis by Alan Agresti |access-date=2023-05-02 |url-status=live |archive-url=https://web.archive.org/web/20230131013107/https://stats.oarc.ucla.edu/other/examples/icda/ |archive-date=2023-01-31}}</ref>
*''[[Robust statistics]]'' – Data sets used in ''[[Robust Regression and Outlier Detection]]'' ([[Peter Rousseeuw|Rousseeuw]] and Leroy, 1968). [https://web.archive.org/web/20050207032959/http://www.uni-koeln.de/themen/statistik/data/rousseeuw/ Provided online] at the University of Cologne.<ref>{{cite web |url=http://www.uni-koeln.de/themen/statistik/data/rousseeuw/ |title=The ROUSSEEUW datasets |url-status=dead |archive-url=https://web.archive.org/web/20050207032959/http://www.uni-koeln.de/themen/statistik/data/rousseeuw/ |archive-date=2005-02-07}}</ref>
*''[[Time series]]'' – Data used in Chatfield's book, ''The Analysis of Time Series'', are [https://web.archive.org/web/20110102201323/http://lib.stat.cmu.edu/modules.php?op=modload&name=PostWrap&file=index&page=datasets/ provided on-line] by StatLib.<ref>{{cite web |url=http://lib.stat.cmu.edu/modules.php?op=modload&name=PostWrap&file=index&page=datasets/ |title=StatLib :: Data, Software and News from the Statistics Community |url-status=dead |archive-url=https://web.archive.org/web/20110102201323/http://lib.stat.cmu.edu/modules.php?op=modload&name=PostWrap&file=index&page=datasets/ |archive-date=2011-01-02}}</ref>
*''Extreme values'' – Data used in the book, ''An Introduction to the Statistical Modeling of Extreme Values'' are [https://web.archive.org/web/20060910161517/http://homes.stat.unipd.it/coles/public_html/ismev/ismev.dat a snapshot of the data as it was provided on-line by Stuart Coles], the book's author.
*''Bayesian Data Analysis'' – Data used in the book are [http://www.stat.columbia.edu/~gelman/book/data/ provided on-line] ([https://web.archive.org/web/20230122121643/http://www.stat.columbia.edu/~gelman/book/data/ archive link]) by [[Andrew Gelman]], one of the book's authors.
* The [https://web.archive.org/web/20171023174701/http://ftp.ics.uci.edu:80/pub/machine-learning-databases/liver-disorders/ Bupa liver data] – Used in several papers in the [[machine learning]] (data mining) literature.
* [[Anscombe's quartet]] – Small data set illustrating the importance of graphing the data to avoid statistical fallacies.