archery-gender-analysis

Analysis of data for Archery GB to make comments about gender separation at events.

https://github.com/jatkinson1000/archery-gender-analysis

Science Score: 44.0%

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Repository

Analysis of data for Archery GB to make comments about gender separation at events.

Basic Info
  • Host: GitHub
  • Owner: jatkinson1000
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 372 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

Archery Gender Analysis

GitHub Python 3.7+ Code style: black

Analysis of data from indoor archery competitions to examine gender differences.
A research paper based on this analysis has been written.

Usage

Usage is allowed under the licensing specified. Whilst this repository is intended as a static data source and source code supporting a research article, suitable contributions may be considered.
Others are also welcome to build upon the code here, or any parts therein, for their own research under the licensing specified.

If using any of this code, data, or its derivatives it is appreciated if visible credit is given using the information provided in the CITATION.cff file.

Installation

To install clone the repository, navigate to /archery-gender-analysis, and run:

python3 -m pip install .

It is recommended to use a virtual environment.

Getting Started

The data analysis can be performed using the jupyter notebook analysis.ipynb

This can be run from the main directory using: jupyter notebook examples.ipynb

The source code used to perform the data acquisition, analysis, and plotting can be found in the source code directory archery-gender-analysis/. The downloaded datasets used in this paper can be found in data/ and the results of the analysis can be found in results.
These were generated using the script main.py.

License

Copyright © Jack Atkinson

This code is distributed under the MIT Licence.

Authors and Acknowledgment

See Contributors for a list of contributors towards this project.

If you use this software in your work, please provide visible credit/citation. CITATION.cff provides citation metadata, which can also be accessed from GitHub.

Contributions

This repository is intended as a static data source and source code supporting a research article. However, suitable contributions may be considered in cases where there is a strong argument.

For bugs and clear suggestions for improvement please open an issue.

Code of Conduct

Everyone participating in this project is expected to treat others with respect and more generally to follow the guidelines articulated in the Python Community Code of Conduct.

Owner

  • Name: Jack Atkinson
  • Login: jatkinson1000
  • Kind: user
  • Company: @Cambridge-ICCS

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: AGB Gender Analysis
message: >-
  "If you use this software, please cite it as
  below."
type: software
authors:
  - given-names: Jack
    family-names: Atkinson
    orcid: 'https://orcid.org/0000-0001-5001-4812'
identifiers:
  - type: url
    value: >-
      https://github.com/jatkinson1000/AGB-gender-analysis
    description: GitHub repository with code
repository-code: >-
  https://github.com/jatkinson1000/AGB-gender-analysis
license: MIT

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Dependencies

pyproject.toml pypi
  • beautifulsoup4 *
  • lxml *
  • matplotlib ==3.7.1
  • notebook *
  • numpy >=1.20.0
  • pandas *
  • scipy *