archery-gender-analysis
Analysis of data for Archery GB to make comments about gender separation at events.
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
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
Metadata Files
README.md
Archery Gender Analysis
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
- Website: https://jackatkinson.net
- Repositories: 27
- Profile: https://github.com/jatkinson1000
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
- beautifulsoup4 *
- lxml *
- matplotlib ==3.7.1
- notebook *
- numpy >=1.20.0
- pandas *
- scipy *