0.2.1 • Published 2 months ago

@stdlib/datasets-frb-sf-wage-rigidity v0.2.1

Weekly downloads
-
License
Apache-2.0
Repository
github
Last release
2 months ago

Wage Rates

NPM version Build Status Coverage Status

Wage rates for U.S. workers that have not changed jobs within the year.

Installation

npm install @stdlib/datasets-frb-sf-wage-rigidity

Usage

var wages = require( '@stdlib/datasets-frb-sf-wage-rigidity' );

wages()

Returns wage rates for U.S. workers that have not changed jobs within the year.

var data = wages();
// returns [{...},{...},...]

Each array element has the following fields:

  • date: collection date (month/day/year; e.g., 01/01/1980).
  • all_workers: wage rates for hourly and non-hourly workers.
  • hourly_workers: wage rates for hourly workers.
  • non_hourly_workers: wage rates for non-hourly workers.
  • less_than_high_school: wage rates for workers with less than a high school education.
  • high_school: wage rates for workers with a high school education.
  • some_college: wage rates for workers with some college education.
  • college: wage rates for workers with a college education.
  • construction: wage rates for workers in the construction industry.
  • finance: wage rates for workers in the finance industry.
  • manufacturing: wage rates for workers in the manufacturing industry.

Examples

var Chart = require( '@stdlib/plot-sparklines-unicode-tristate' );
var wages = require( '@stdlib/datasets-frb-sf-wage-rigidity' );

var chart;
var opts;
var data;
var v1;
var v2;
var d;
var i;

data = wages();
d = new Array( data.length );
v1 = data[ 0 ].all_workers;
for ( i = 1; i < data.length; i++ ) {
    v2 = data[ i ].all_workers;
    if ( v2 === null ) {
        d[ i ] = NaN;
    } else if ( v2 < v1 ) {
        d[ i ] = -1;
    } else if ( v2 > v1 ) {
        d[ i ] = 1;
    } else {
        d[ i ] = 0;
    }
    v1 = v2;
}

opts = {
    'data': d
};
chart = new Chart( opts );

console.log( chart.render() );

License

The data files (databases) are licensed under an Open Data Commons Attribution 1.0 License and their contents are licensed under a Creative Commons Attribution 4.0 International Public License. The original dataset is attributed to the Federal Reserve Bank of San Francisco. The software is licensed under Apache License, Version 2.0.

See Also


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

Chat


Copyright

Copyright © 2016-2024. The Stdlib Authors.