Computes various geospatial indices of socioeconomic deprivation and disparity in the United States

Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Machine Learning", by Dani Arribas-Bel, Jorge Patiño and Juanca Duque

A suite of geospatial software tools and apps for socioeconomic and environmental analysis on coupled human-natural systems (CHANS) from local to global scales

This repository hosts the final project for the Statistical Methods in Data Science & Laboratory 2 exam, as part of the Master’s degree in Data Science at Sapienza University of Rome

Putting quality of life indicators in Germany on a map

Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

Construcción de indicadores socioeconómicos mediante un análisis del Censo de Población y Vivienda 2020, utilizando variables relevantes en modelos predictivos de salud. Con estos indicadores se busca poder determinar las contribuciones relativas de los factores sociales y económicos, en diferentes modelos predictivos relacionados a la salud.

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

Tratamento das tabelas disponibilizadas pela FAPESPA sobre municipios do Estado do Pará, Brasil. || Treatment of tables provided by FAPESPA with informations from cities and towns from Pará State, Brazil.

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

Socio-economic indicators are extracted using API and web scraping. The data is analyzed for multiple countries and over time using Python. This project was implemented as part of Intermediate Python Coursework.

preparation of geo indicators at the national level to be ingested into the UK LLC TRE

Statistical Analysis of Socioeconomic Data for Business insights

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

Exploratory data visualisations for London demographic and socio economic indicators