@stdlib/datasets-cdc-nchs-us-births-1994-2003

US birth data from 1994 to 2003, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.

Usage no npm install needed!

<script type="module">
  import stdlibDatasetsCdcNchsUsBirths19942003 from 'https://cdn.skypack.dev/@stdlib/datasets-cdc-nchs-us-births-1994-2003';
</script>

README

US Birth Data (1994-2003)

NPM version Build Status Coverage Status

US birth data from 1994 to 2003, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.

Installation

npm install @stdlib/datasets-cdc-nchs-us-births-1994-2003

Usage

var dataset = require( '@stdlib/datasets-cdc-nchs-us-births-1994-2003' );

dataset()

Returns US birth data from 1994 to 2003, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.

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

Each element in the returned database has the following fields:

  • year: year.
  • month: month, where January is denoted by 1.
  • date_of_month: day number of the month.
  • day_of_week: day of week, where Monday is 1 and Sunday is 7.
  • births: number of births.

Examples

var incrmean = require( '@stdlib/stats-incr-mean' );
var dataset = require( '@stdlib/datasets-cdc-nchs-us-births-1994-2003' );

function mean( a, b ) {
    return ( a + b ) / 2.0;
}

function reldiff( a, b ) {
    return 100.0 * ( (a-b)/a );
}

/*
* GOAL: determine whether people avoid giving birth on the 13th of each month.
*
* NOTE: for a more thorough analysis, we'd account for holidays.
*/

// Retrieve the data:
var data = dataset();

// Initialize arrays for storing births for particular day numbers:
var d6or20 = [ [], [], [], [], [], [], [] ];
var d13 = [ [], [], [], [], [], [], [] ];

// Extract the day number data...
var d;
var w;
var i;
for ( i = 0; i < data.length; i++ ) {
    d = data[ i ].date_of_month;
    w = data[ i ].day_of_week;
    if ( d === 6 ) {
        // Average of days 6 and 20 for the same month:
        d6or20[ w-1 ].push( mean( data[ i ].births, data[ i+14 ].births ) );
    } else if ( d === 13 ) {
        d13[ w-1 ].push( data[ i ].births );
    }
}

// Initialize accumulators for computing the average relative difference...
var means = [];
for ( i = 0; i < 7; i++ ) {
    means.push( incrmean() );
}

// Compute the average relative difference between days 6/20 with day 13...
var l1;
var l2;
var mu;
var j;
for ( i = 0; i < 7; i++ ) {
    l1 = d13[ i ];
    l2 = d6or20[ i ];
    mu = means[ i ];
    for ( j = 0; j < l1.length; j++ ) {
        mu( reldiff( l1[ j ], l2[ j ] ) );
    }
}

// Print the results...
for ( i = 0; i < 7; i++ ) {
    console.log( '%d: %d%', i+1, means[ i ]().toFixed( 3 ) );
}

CLI

Installation

To use the module as a general utility, install the module globally

npm install -g @stdlib/datasets-cdc-nchs-us-births-1994-2003

Usage

Usage: cdc-nchs-us-births-1994-2003 [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.

Notes

  • Data is written to stdout as comma-separated values (CSV), where the first line is a header line.

Examples

$ cdc-nchs-us-births-1994-2003

References

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.

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Copyright © 2016-2022. The Stdlib Authors.