Analysis of the Dutch Algorithm Registry, examining registration completeness and publication patterns across different organisation types.

If you already have the .venv folder:

Activate the virtual environment:

# macOS/Linux
source .venv/bin/activate

# Windows
.venv\Scripts\activate

Install/update dependencies:

pip install -r requirements.txt

# Create virtual environment
python -m venv venv

# Activate it (macOS/Linux)
source venv/bin/activate

# Activate it (Windows)
venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Once your virtual environment is activated and dependencies are installed:

In VSCode:

1. Open Algorithm_Analysis_Folder/Combined_Analysis.ipynb
2. Select the Python interpreter from your virtual environment (bottom right)
3. Run the cells

Or use Jupyter:

jupyter notebook "Algorithm_Analysis_Folder/Combined_Analysis.ipynb"

.
├── Algorithm_Analysis_Folder/
│   ├── Combined_Analysis.ipynb          # Main analysis notebook
│   ├── helper_functions.py              # Helper functions for analysis
│   ├── Gepubliceerde algoritmes 2025-11-19.csv  # Data file
│   └── visualisations/                  # Generated visualisations
├── requirements.txt                      # Python dependencies
├── LICENSE                              # EUPL v1.2 license
├── algo_Reg_header.png                  # Project header image
└── README.md                            # This file

The notebook performs the following analyses:

1. Organisation Type Analysis: Data completeness by organisation type
2. Publication Category Distribution: Algorithm categorisation across organisation types
3. Field Completeness: Analysis of key information fields
4. Municipality Analysis: Detailed analysis of top municipalities by population
5. Summary Statistics: Overall findings and recommendations

Gepubliceerde algoritmes 2025-11-19.csv from the Dutch Algorithm Registry, update accordingly!