EDA of the donations and expenses to "Повернись Живим" ("Come back alive"/"Save life in ua"): https://www.comebackalive.in.ua/

The main analysis is in the save_life_in_ua/eda.py script.

The main analysis is scheduled to run regularly in the CI/CD pipeline. As outcome the markdown docs/README.md file is updated and the updated version is pushed to the gh-pages branches, which in turn is served as GitHub pages at https://mlisovyi.github.io/save_life_in_ua/.

graph TD;
GitHub_Actions -- execute_on_schedule --> save_life_in_ua/eda.py;
save_life_in_ua/eda.py --> docs/README.md;
docs/README.md -- push_results_to_branch --> gh_pages;
gh_pages -- transform_to_html_and_deploy --> https://mlisovyi.github.io/save_life_in_ua/;
;

As a result of this automation, the user has access to up-to-date information without needing to have a python, environment and the analysis repository installed.

Clone the repository from GitHub:

git clone https://github.com/mlisovyi/save_life_in_ua.git

For execution one has to install relevant python dependencies using pip:

pip install -r requirements/requirements_app.txt

The code has been checked to run and is tests in CI/CD using python 3.8. It is strongly recommended to use some virtual environment with dedicated python installation, e.g. conda, poetry, pipenv, etc.