python

This project focuses on processing electoral data from Uruguay. It aims to provide a user-friendly way to access election results by precinct, leveraging a custom-built web application hosted on Heroku. Users can easily obtain results from their precinct in the most recent elections by entering their ID. Additionally, the application offers insights into the voting trends by computing and presenting the differences in election results by precinct between the last two elections. In the app, you can enter your ID to view the election results for your precinct in the latest elections. I have also analyzed changes in election outcomes by precinct between the most recent two elections (2014 and 2019). In the picture, the precincts highlighted are from the city of Las Piedras (my hometown). To use the application and explore the election data, please click on the title to go to the GitHub repository. The source code for this project is available on GitHub.

Project to learn about government purchases of mineral water during a water crisis in Uruguay

This repository contains a Jupyter notebook (using python) designed for analyzing trade relationships between six Latin American countries and other countries worldwide. The analysis focuses on the exports and imports of goods at the ISIC Rev. 4 level using data from UN Comtrade for the year 1995.

An example of the existence of the Relative Age Effect and an analysis of how this phenomenon is present (and evolves) through youth leagues.

Sample code to classify more than 3 million lines of politicians’ proposal into six issues (Brazilian Municipal Elections 2012)

Simulations for firm entry problem (class exercise)