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Anscombe's quartet is a set of 4 datasets which all have nearly identical simple statistical properties but vary considerably when graphed. Anscombe created the datasets to demonstrate why graphical data exploration should precede statistical data analysis and to show the effect of outliers on statistical properties.
To use as a general utility, install the CLI package globally
npm install -g @stdlib/datasets-anscombes-quartet-cliUsage: anscombes-quartet [options]
Options:
-h, --help Print this message.
-V, --version Print the package version.
$ anscombes-quartet
x1,y1,x2,y2,x3,y3,x4,y4
10,8.04,10,9.14,10,7.46,8,6.58
8,6.95,8,8.14,8,6.77,8,5.76
13,7.58,13,8.74,13,12.74,8,7.71
9,8.81,9,8.77,9,7.11,8,8.84
11,8.33,11,9.26,11,7.81,8,8.47
14,9.96,14,8.1,14,8.84,8,7.04
6,7.24,6,6.13,6,6.08,8,5.25
4,4.26,4,3.1,4,5.39,19,12.5
12,10.84,12,9.13,12,8.15,8,5.56
7,4.82,7,7.26,7,6.42,8,7.91
5,5.68,5,4.74,5,5.73,8,6.89- Anscombe, Francis J. 1973. "Graphs in Statistical Analysis." The American Statistician 27 (1). [American Statistical Association, Taylor & Francis, Ltd.]: 17–21. http://www.jstor.org/stable/2682899.
The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.
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@stdlib/datasets-anscombes-quartet: anscombe's quartet.
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