Exploratory Analysis of Open Data to Strengthen ...
summary
Uses Pandas and Matplotlib inside Google Colab to process Brazil’s Chamber of Deputies open data, building an n-gram vocabulary and training a Random Forest classifier to label proposals related to historically marginalized groups. Measures legislative effects of gender quota laws, finding about a 6 percentage-point increase in women’s candidacies across three post-law legislatures and no clear Pearson correlation between share of women and topical proposal counts; includes published notebook, data sources, and preprocessing for reproducibility.
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chapters (9)
- 0:00Introduction
- 1:51Open data in democracy
- 4:01Latin America transparency
- 8:28Chamber data analysis
- 14:13Gender quota impact
- 19:42Legislative proposals evolution
- 23:15Tech for democracy
- 26:05Brazil’s open data portal
- 29:41Open education data challenges
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