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In [[statistics]], data sets usually come from actual observations obtained by [[sampling (statistics)|sampling]] a [[statistical population]], and each row corresponds to the observations on one element of that population. Data sets may further be generated by [[algorithms]] for the purpose of testing certain kinds of [[software]]. Some modern statistical analysis software such as [[SPSS]] still present their data in the classical data set fashion. If data is missing or suspicious an [[imputation (statistics)|imputation]] method may be used to complete a data set.<ref name="sde">{{cite book |title=Statistical Data Editing: Impact on Data Quality: Volume 3 of Statistical Data Editing, Conference of European Statisticians Statistical standards and studies |author=United Nations Statistical Commission |author2=United Nations Economic Commission for Europe |year=2007 |publisher=United Nations Publications |isbn=978-9211169522 |page=20 |url=https://books.google.com/books?id=X0wtLo2XY9gC |access-date=19 July 2015}}</ref>
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Several classic data sets have been used extensively in the [[statistical]] literature:
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