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🚀 Installation and Usage

You can access the publicly available version of the visualization online at https://archaeobotanical-data-visualizer.streamlit.app

If you prefer to run it locally, follow the steps below.

1. Clone or download this repository

git clone https://github.com/joaomessiah/python-radar-visualization.git
cd python-radar-visualization

2. Install dependencies

It’s recommended to use a Python virtual environment (e.g. venv):

python -m venv .venv
source .venv/bin/activate      # on Linux/Mac
.venv\Scripts\activate       # on Windows

Then install all dependencies:

pip install -r requirements.txt

3. Run the app

Launch the Streamlit interface:

streamlit run app.py

Once the application is running, a link will appear in your terminal (usually starting with http://localhost:8501). Open that link in your browser to view the visualization.