This repository contains scripts and data powering the Gender DataDive.
Raw data files for the sources used in this analysis
can be accessed in the raw_data folder, along with documentation on sources used
Chart datasets can be accessed in the output folder.
Scripts powering the raw data extraction and the analysis can
be found in the scripts folder. The data extraction and analysis runs
automatically using GitHub Actions and the results are pushed to the raw_data
and output folder.
To reproduce the analysis, Python >=3.10 is required.
The project is managed using Poetry and dependencies
can be installed by running poetry install in the root directory. Required
libraries and packages are listed in the requirements.txt file.`
The following sources were used in this analysis:
- World Bank - World Development Indicators
- World Bank - Gender Data Portal
- UNDP Human Development Report
- UNESCO Institute for Statistics
- UN Women, Pardee Center, UNDP
- WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division - mmr2020
- Afrobarometer Round 7