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This project uses K-means clustering to group countries based on socio-economic and health factors such as child mortality, exports, health spending, income, and GDP per capita. The workflow includes data preprocessing, clustering, and performance evaluation using silhouette scores.
This project aims to analyze the determinants for a woman being the primary source of revenue in a household using data from the "Conditions de Travail 2013" survey. The analysis will be focused on individuals living in couples in the same household. The project uses python along with multiple data science and statistics libraries. and
Aplicación web que entrega gráficos socioeconómicos comunales desde la encuesta Casen 2017, y permite ir filtrando grupos vulnerables o de riesgo para divisar cambios en los datos. Desarrollada con R y Shiny.
Repositorio dedicado al analisis del tiempo de permanencia de baches en diferentes zonas del municipio de Hermosillo, Sonora, en relacion a factores socioeconomicos.