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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.

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arrudafranco/Homework-8

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hw08

Gustavo Arruda

This repository is part of a University of Chicago course called "Computation for the Social Sciences" taught in the fall of 2020. It contains an analysis of life expectancy and population density, and an analysis of party and ideological alignment of Brazilian representatives in the Evangelical Congressional Front.

  • gapminder.Rmd and scraping.Rmd are Markdown files that renders written analysis of the data.
  • gapminder.md contains charts and details about linear models of life expectancy and population density, using data from the gapminder package and the Geonames API.
  • scraping.md contains charts and details about party and ideological alignment of Brazilian representatives in the Evangelical Congressional Front, using data scraped from the House of Representatives website.

Used Libraries:

  • To run the code in this repository, the libraries used were:
  • library(gapminder)
  • library(dplyr)
  • library(geonames)
  • library(countrycode)
  • library(ggplot2)
  • library(ggthemes)
  • library(rvest)
  • library(readr)

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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.

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