1st Place – Amazon's AWS Data Exchange Challenge Hackathon

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.

Repository for the development of a shiny app using deprivation data

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

This is a Socioeconomic system for exchanging an energy based Currency

Quantifying the Impacts of Building Energy Efficiency Retrofits and Nature Exposure on Chronic Student Absenteeism

Analyzing the effects of COVID-19 in the NYC restaurant industry in different socioeconomic neighborhoods.

USD to Rial Tracker is a handy little project that keeps track of the daily dollar rate, stores it, and builds a clean dataset. Check out the link below for more details:

A Python package for generating a socioeconomic index and classifying geographical areas at DeSO (Demographic Statistical Areas) level for Sweden. The package uses the PxStatsPy package to automatically fetch the relevant data with the Statistics Sweden (SCB) API.

Correlations of demographic and socioeconomic variables with life expectancy produced for the Administrative Data Accelerator

Exploratory data analysis about the socioeconomic impact COVID-19 made on nordic countries.

Realizar uma exploração de dados em uma base socioeconômica e responder as perguntas de negócios

Datos socioeconómicos usados en CoronaMex

Shiny app tool for visualizing and exploring socio-economic and geographical data of rural sections summarized by commune in Haiti.

Shiny web app with some nice visualizations explaining socioeconomic impact of COVID-19 in the capital of Spain.

Socio-Economics of Russia

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.

Penelitian ini bertujuan menganalisis hubungan antara pendidikan dan kualitas hidup manusia antar provinsi di Indonesia pada periode 2010–2024 untuk memberi insight bagi pembuatan kebijakan publik maupun penelitian akademik pada umumnya

This project aims to analyze the correlation between COVID-19 infection rates and various socioeconomic factors in Santiago, Chile, from 2020 to 2022. The study focuses on understanding how housing conditions, education levels, and other relevant variables influence the speed and spread of COVID-19 across different communes in the city.

A list of resources related to child protection, domestic abuse, legal and other resources for research purposes.