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.
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US birth data from 1994 to 2003, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.
To use as a general utility, install the CLI package globally
npm install -g @stdlib/datasets-cdc-nchs-us-births-1994-2003-cliUsage: cdc-nchs-us-births-1994-2003 [options]
Options:
-h, --help Print this message.
-V, --version Print the package version.
- Data is written to
stdoutas comma-separated values (CSV), where the first line is a header line.
$ cdc-nchs-us-births-1994-2003- Bialik, Carl. 2016. "Some People Are Too Superstitious To Have A Baby On Friday The 13th." https://fivethirtyeight.com/features/some-people-are-too-superstitious-to-have-a-baby-on-friday-the-13th/.
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.
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@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. -
@stdlib/datasets-cdc-nchs-us-births-1969-1988: US birth data from 1969 to 1988, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics. -
@stdlib/datasets-ssa-us-births-2000-2014: US birth data from 2000 to 2014, as provided by the Social Security Administration.
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.
Copyright © 2016-2024. The Stdlib Authors.