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About stdlib...

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Anscombe's Quartet

NPM version Build Status Coverage Status

Anscombe's quartet.

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.

Installation

npm install @stdlib/datasets-anscombes-quartet

Alternatively,

  • To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
  • If you are using Deno, visit the deno branch (see README for usage intructions).
  • For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).
  • To use as a general utility for the command line, install the corresponding CLI package globally.

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var data = require( '@stdlib/datasets-anscombes-quartet' );

data()

Returns Anscombe's quartet, which is comprised of 4 individual datasets, where each individual dataset is an array of [x,y] tuples.

var d = data();
/* returns
    [
        [
            [ 10, 8.04 ],
            [ 8, 6.95 ],
            [ 13, 7.58 ],
            [ 9, 8.81 ],
            [ 11, 8.33 ],
            [ 14, 9.96 ],
            [ 6, 7.24 ],
            [ 4, 4.26 ],
            [ 12, 10.84 ],
            [ 7, 4.82 ],
            [ 5, 5.68 ]
        ],
        [
            [ 10, 9.14 ],
            [ 8, 8.14 ],
            [ 13, 8.74 ],
            [ 9, 8.77 ],
            [ 11, 9.26 ],
            [ 14, 8.1 ],
            [ 6, 6.13 ],
            [ 4, 3.1 ],
            [ 12, 9.13 ],
            [ 7, 7.26 ],
            [ 5, 4.74 ]
        ],
        [
            [ 10, 7.46 ],
            [ 8, 6.77 ],
            [ 13, 12.74 ],
            [ 9, 7.11 ],
            [ 11, 7.81 ],
            [ 14, 8.84 ],
            [ 6, 6.08 ],
            [ 4, 5.39 ],
            [ 12, 8.15 ],
            [ 7, 6.42 ],
            [ 5, 5.73 ]
        ],
        [
            [ 8, 6.58 ],
            [ 8, 5.76 ],
            [ 8, 7.71 ],
            [ 8, 8.84 ],
            [ 8, 8.47 ],
            [ 8, 7.04 ],
            [ 8, 5.25 ],
            [ 19, 12.5 ],
            [ 8, 5.56 ],
            [ 8, 7.91 ],
            [ 8, 6.89 ]
        ]
    ]
*/

Examples

var data = require( '@stdlib/datasets-anscombes-quartet' );

console.log( data() );

CLI

Installation

To use as a general utility, install the CLI package globally

npm install -g @stdlib/datasets-anscombes-quartet-cli

Usage

Usage: anscombes-quartet [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.

Notes

  • Data is written to stdout as comma-separated values (CSV), where the first line is a header line.

Examples

$ 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

References

  • 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.

License

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.

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

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Copyright

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