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!
Nightingale's Rose
Dataset for Florence Nightingale's famous polar area diagram.
Installation
To use as a general utility, install the CLI package globally
npm install -g @stdlib/datasets-nightingales-rose-cli
Usage
Usage: nightingales-rose [options]
Options:
-h, --help Print this message.
-V, --version Print the package version.
--format fmt Output format: 'csv' or 'ndjson'.
Examples
$ nightingales-rose
date,army_size,disease,wounds,other
1854-04-01T07:00:00.000Z,8571,1,0,5
1854-05-01T07:00:00.000Z,23333,12,0,9
1854-06-01T07:00:00.000Z,28333,11,0,6
...
References
- Nightingale, Florence. 1859. A contribution to the sanitary history of the British army during the late war with Russia. London, United Kingdom: John W. Parker and Son.
License
The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under a Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.
See Also
-
@stdlib/datasets-nightingales-rose
: dataset for Nightingale's famous polar area diagram.
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
Copyright
Copyright © 2016-2024. The Stdlib Authors.