@stdlib/datasets-us-states-names NPM

US State Names

A list of US state names.

Installation

npm install @stdlib/datasets-us-states-names

Usage

var names = require( '@stdlib/datasets-us-states-names' );

names()

Returns a list of US state names in alphabetical order.

var data = names();
/* returns
    [
        'Alabama',
        'Alaska',
        'Arizona',
        'Arkansas',
        'California',
        'Colorado',
        'Connecticut',
        'Delaware',
        'Florida',
        'Georgia',
        'Hawaii',
        'Idaho',
        'Illinois',
        'Indiana',
        'Iowa',
        'Kansas',
        'Kentucky',
        'Louisiana',
        'Maine',
        'Maryland',
        'Massachusetts',
        'Michigan',
        'Minnesota',
        'Mississippi',
        'Missouri',
        'Montana',
        'Nebraska',
        'Nevada',
        'New Hampshire',
        'New Jersey',
        'New Mexico',
        'New York',
        'North Carolina',
        'North Dakota',
        'Ohio',
        'Oklahoma',
        'Oregon',
        'Pennsylvania',
        'Rhode Island',
        'South Carolina',
        'South Dakota',
        'Tennessee',
        'Texas',
        'Utah',
        'Vermont',
        'Virginia',
        'Washington',
        'West Virginia',
        'Wisconsin',
        'Wyoming'
    ]
*/

Examples

var floor = require( '@stdlib/math-base-special-floor' );
var randu = require( '@stdlib/random-base-randu' );
var names = require( '@stdlib/datasets-us-states-names' );

var data = names();
var len = data.length;
var idx;
var i;

// Select random names from the list...
for ( i = 0; i < 100; i++ ) {
    idx = floor( randu()*len );
    console.log( data[ idx ] );
}

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.