FAIR Visualization Metrics

Python scripts to visualise the WATERVERSE FAIR Implementation Profile (WFIP) results.

Overview

This repository offers visualization tools to analyze FAIR levels across different data sources. You can generate:

• Radar charts for FAIR analysis (with overlay comparisons)
• Bar-column charts showing FAIRness level score (with side-by-side comparisons)
• Pie charts showing distribution of priorities

Example Graphs

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📂 Project Structure

• figures.py – Core plotting script
• requirements.txt – Dependency definitions
• test/ – Placeholder for future tests
• data/ – Directory for input data (JSON)

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⚙️ Setup

Make sure you have Python 3.11 or newer and uv installed.

Example of how to install the required dependencies:

uv venv --python 3.11
source .venv/bin/activate               # Linux/macOS
uv pip install -r requirements.txt

📊 Visualizing Metrics

Move the data to data/ directory and modify the json file names in figures.py to work on desired data. Then simply run the script to generate plots:

python figures.py