Metadata-Version: 2.1
Name: longevity_factors_by_country
Version: 0.1.5
Summary: This package provides data on various factors that surround and potentially influence longevity by country. Data includes the average lifespan, healthcare expenditure, by country, education spend, and more.
Home-page: https://github.com/QMSS-G5072-2023/rao_anjana
License: MIT
Author: Anjana Rao
Requires-Python: >=3.10,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: pandas (>=2.1.4,<3.0.0)
Requires-Dist: psycopg2 (>=2.9.9,<3.0.0)
Requires-Dist: psycopg2-binary (>=2.9.9,<3.0.0)
Project-URL: Repository, https://github.com/QMSS-G5072-2023/rao_anjana
Description-Content-Type: text/markdown

# longevity_factors_by_country

This package provides data on various factors that surround and potentially influence longevity by country. Data includes the average lifespan, healthcare expenditure, by country, education spend, and more.

## Installation

```bash
$ pip install longevity_factors_by_country
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`longevity_factors_by_country` was created by Anjana Rao. It is licensed under the terms of the MIT license.

## Credits

`longevity_factors_by_country` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).

