@stdlib/datasets-anscombes-quartet NPM

Anscombe's Quartet

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

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() );

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.