Nightingale's Rose

Dataset for Florence Nightingale's famous polar area diagram.

Installation

$ npm install datasets-nightingales-rose

For use in the browser, use browserify.

Usage

var data = require( 'datasets-nightingales-rose' );

data

Dataset for Florence Nightingale's famous polar area diagram.

console.log( data );
/*
	[
		{
			"date": "1854-04-01T07:00:00.000Z",
			"army_size": 8571,
			"disease": 1,
			"wounds": 0,
			"other": 5
		},
		...
	]
*/

Examples

var data = require( 'datasets-nightingales-rose' );

var len = data.length,
	scalar,
	d, i;

// Calculate the average annual mortality per 1000 for each cause, as done by Nightingale. See http://understandinguncertainty.org/node/214.
for ( i = 0; i < len; i++ ) {
	d = data[ i ];
	scalar = 1000*12 / d.army_size;
	d.disease = d.disease * scalar;
	d.wounds = d.wounds * scalar;
	d.other = d.other * scalar;
}
console.dir( data );

To run the example code from the top-level application directory,

$ node ./examples/index.js

References

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

Tests

Unit

Unit tests use the Mocha test framework with Chai assertions. To run the tests, execute the following command in the top-level application directory:

$ make test

All new feature development should have corresponding unit tests to validate correct functionality.

Test Coverage

This repository uses Istanbul as its code coverage tool. To generate a test coverage report, execute the following command in the top-level application directory:

$ make test-cov

Istanbul creates a ./reports/coverage directory. To access an HTML version of the report,

$ make view-cov

License

MIT license.

Copyright

Copyright © 2015. The Compute.io Authors.