Data set

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Dataset
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Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936).[1]

A data set (or dataset) is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question. The data set lists values for each of the variables, such as for example height and weight of an object, for each member of the data set. Data sets can also consist of a collection of documents or files.[2]

In the

data.europa.eu portal aggregates more than a million data sets.[3]

Properties

Several characteristics define a data set's structure and properties. These include the number and types of the attributes or variables, and various

statistical measures applicable to them, such as standard deviation and kurtosis.[4]

The values may be numbers, such as

Missing values
may exist, which must be indicated somehow.

In

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 method may be used to complete a data set.[5]

Classics

Several classic data sets have been used extensively in the

statistical
literature:

See also

References

  1. ^
    hdl:2440/15227. Archived from the original
    (PDF) on 2011-09-28. Retrieved 2007-05-22.
  2. ^ Snijders, C.; Matzat, U.; Reips, U.-D. (2012). "'Big Data': Big gaps of knowledge in the field of Internet". International Journal of Internet Science. 7: 1–5. Archived from the original on 2019-11-23. Retrieved 2017-02-10.
  3. ^ "European open data portal". European open data portal. European Commission. Retrieved 2016-09-23.
  4. .
  5. ISBN 978-9211169522. Retrieved 19 July 2015.[permanent dead link
    ]
  6. ^ "UCI Machine Learning Repository: Iris Data Set". Archived from the original on 2023-04-26. Retrieved 2023-05-02.
  7. ^ "Textbook Examples An Introduction to Categorical Data Analysis by Alan Agresti". Archived from the original on 2023-01-31. Retrieved 2023-05-02.
  8. ^ "The ROUSSEEUW datasets". Archived from the original on 2005-02-07.
  9. ^ "StatLib :: Data, Software and News from the Statistics Community". Archived from the original on 2011-01-02.

External links