Data Challenges 2022/2023 is a university-hosted data challenge project sponsored by Prof. Dr. Lena Wiese. This year's goal is to analyze public datasets to find possible differences in how different genders are affected by chronic diseases (e. g. prevalence, degree of severity, symptoms).
The main branch of this repository is deployed automatically to Streamlit Cloud, where it can be viewed.
Make sure you have Python 3.10 and pipenv installed. pipenv can be installed by running:
pip install pipenv
Clone the repository:
git clone https://github.com/aromberg/data-challenges-2022-2023.git
Within the cloned repository, install all requirements:
pipenv install
Activate the virtual environment by running:
pipenv shell
You can now run the app:
streamlit run Home.py
- Martin Brand (M. Sc. Bioinformatics Student)
- Katharina Lenhart (M. Sc. Bioinformatics Student)
- Adrian Romberg (M. Sc. Bioinformatics Student)
- Yang Xie (M. Sc. Bioinformatics Student)