This Streamlit application provides an interactive dashboard for analyzing Gitcoin's retroactive funding allocation data.
View application: https://gg23-retro-analysis.streamlit.app
Badgeholder Preference Analysis - How badgeholders distributed their weights across metrics?

Metric Analysis - How do different project metrics relate to final funding allocations?

Performance Clusters Analysis - Were funds equitably deployed across clusters having different strengths and profiles?

- Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate # On Windows, use: venv\Scripts\activate- Install dependencies:
pip install -r requirements.txtRun the Streamlit app with:
streamlit run app.pyThe application will open in your default web browser. If it doesn't, you can access it at http://localhost:8501
The application uses three main datasets:
votes.csv: Contains badgeholder votes for metricsallocation.csv: Contains final allocation resultsmetrics.csv: Contains project metrics
These files should be located in the retrospective/data/ directory.