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Dataset for Florence Nightingale's famous polar area diagram.
npm install @stdlib/datasets-nightingales-roseAlternatively,
- To load the package in a website via a
scripttag without installation and bundlers, use the ES Module available on theesmbranch (see README). - If you are using Deno, visit the
denobranch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umdbranch (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.
var rose = require( '@stdlib/datasets-nightingales-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
},
...
]
*/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 );To use as a general utility, install the CLI package globally
npm install -g @stdlib/datasets-nightingales-rose-cliUsage: nightingales-rose [options]
Options:
-h, --help Print this message.
-V, --version Print the package version.
--format fmt Output format: 'csv' or 'ndjson'.
$ 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
...- 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.
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.
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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