Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical validation following Ginzburg's (2024) framework. Jupyter Notebook based.
jupyter-notebook political-science data-analysis public-opinion survey-analysis computational-social-science mathematical-modeling quantitative-methods python-statistics affective-polarization political-behavior electoral-polarization ideological-positioning issue-salience voter-distributions cumulative-distribution-functions statistical-comparison electoral-research political-data-science social-science-research
- Updated
Jun 22, 2025 - Jupyter Notebook