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Visualizations made of data scraped from tables on the website of the Brazilian Congress, and visualizations made of data retrieved from the Geonames API. Produced for the course "Computation for the Social Sciences", offered during the Fall of 2020 at the University of Chicago.
This package returns various information about a given USA state legislature- including the name of each chamber, the number of members, the term length by chamber, and whether the state has imposed term limits.
This is a natural language processing classifier I built in Python that predicts the title of Pennsylvania bills. The objective was to understand the underlying purposes of bills and see their similarities and differences.
Designed to increase public participation in the legislative process, this web application serves as the central digital presence of the New York State Senate.