Skip to content

US infant mortality data, by race, from 1915 to 2013, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.

License

Notifications You must be signed in to change notification settings

stdlib-js/datasets-cdc-nchs-us-infant-mortality-bw-1915-2013

Repository files navigation

About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

US Infant Mortality Rates, By Race (1915-2013)

NPM version Build Status Coverage Status

US infant mortality data, by race, from 1915 to 2013, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.

Installation

npm install @stdlib/datasets-cdc-nchs-us-infant-mortality-bw-1915-2013

Alternatively,

  • To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
  • If you are using Deno, visit the deno branch (see README for usage intructions).
  • For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (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.

Usage

var dataset = require( '@stdlib/datasets-cdc-nchs-us-infant-mortality-bw-1915-2013' );

dataset()

Returns US infant mortality data, by race, from 1915 to 2013, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.

var data = dataset();
// returns { 'black': [...], 'white': [...] }

Notes

  • All birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother. Birth data are used to calculate infant mortality rate.

Examples

var dataset = require( '@stdlib/datasets-cdc-nchs-us-infant-mortality-bw-1915-2013' );

// Retrieve the data:
var data = dataset();
var b = data.black;
var w = data.white;

// Compute the relative infant mortality rate for blacks versus whites...
var r;
var i;
for ( i = 0; i < b.length; i++ ) {
    r = b[ i ] / w[ i ];
    console.log( '%d', r.toFixed( 3 ) );
}

CLI

Installation

To use as a general utility, install the CLI package globally

npm install -g @stdlib/datasets-cdc-nchs-us-infant-mortality-bw-1915-2013-cli

Usage

Usage: cdc-nchs-us-infant-mortality-bw-1915-2013 [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-infant-mortality-bw-1915-2013

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.

Community

Chat


Copyright

Copyright © 2016-2024. The Stdlib Authors.