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Nightingale's Rose

Dataset for Florence Nightingale's famous polar area diagram.

Installation

npm install @stdlib/datasets-nightingales-rose

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 rose = require( '@stdlib/datasets-nightingales-rose' );

rose()

Returns dataset for Florence Nightingale's famous polar area diagram.

var data = rose();
/* returns
    [
        {
            'date': '1854-04-01T07:00:00.000Z',
            'army_size': 8571,
            'disease': 1,
            'wounds': 0,
            'other': 5
        },
        ...
    ]
*/

Examples

var rose = require( '@stdlib/datasets-nightingales-rose' );

var scalar;
var data;
var d;
var i;

data = rose();

// As done by Nightingale, calculate the average annual mortality per 1000 for each cause. See http://understandinguncertainty.org/node/214.
for ( i = 0; i < data.length; i++ ) {
    d = data[ i ];
    scalar = 1000.0 * 12.0 / d.army_size;
    d.disease *= scalar;
    d.wounds *= scalar;
    d.other *= scalar;
}
console.dir( data );

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CLI

Installation

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

npm install -g @stdlib/datasets-nightingales-rose-cli

Usage

Usage: nightingales-rose [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.
         --format fmt          Output format: 'csv' or 'ndjson'.

Notes

• The CLI supports two output formats: comma-separated values (CSV) and newline-delimited JSON (NDJSON). The default output format is CSV.

Examples

$ nightingales-rose
date,army_size,disease,wounds,other
1854-04-01T07:00:00.000Z,8571,1,0,5
1854-05-01T07:00:00.000Z,23333,12,0,9
1854-06-01T07:00:00.000Z,28333,11,0,6
...

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References

• Nightingale, Florence. 1859. A contribution to the sanitary history of the British army during the late war with Russia. London, United Kingdom: John W. Parker and Son.

License

The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under a Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.

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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.

Community

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Copyright

Copyright © 2016-2024. The Stdlib Authors.