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.

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

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

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:

This is a Socioeconomic system for exchanging an energy based Currency

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

Unified MCP access to the world's official socio-economic data (Eurostat, World Bank, OECD, IMF, FRED, ECB, ILO, UN, WHO, OWID, ARDECO + DBnomics/SDMX) — one interface, full provenance, no invented values.

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

Mapping the socioeconomic welfare of East Java regions using PCA, K-Means, and Agglomerative Clustering.

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

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

Socio-Economics of Russia

🇨🇭 Interactive visualization of Swiss public transport accessibility. Analyzing door-to-door travel times to IC hubs, connectivity scores, and regional disparities using GTFS and socioeconomic data.

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.

Datos socioeconómicos usados en CoronaMex

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

A machine learning project that analyzes social media discussions on socioeconomic issues using NLP techniques. The project includes data scraping, preprocessing, exploratory data analysis, and sentiment classification (positive, negative, neutral). |

CNN-based socioeconomic level predictor from credit bureau data — +30% accuracy vs baseline, migrated to Hadoop/Impala for batch scoring at scale