1st Place – Amazon's AWS Data Exchange Challenge Hackathon
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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.
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
Analyzing the effects of COVID-19 in the NYC restaurant industry in different socioeconomic neighborhoods.
Repository for the development of a shiny app using deprivation data
Quantifying the Impact of Building Energy Efficiency Retrofits and Nature Exposure on Chronic Student Absenteeism
Correlations of demographic and socioeconomic variables with life expectancy produced for the Administrative Data Accelerator
Shiny web app with some nice visualizations explaining socioeconomic impact of COVID-19 in the capital of Spain.
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.
Repositorio dedicado al analisis del tiempo de permanencia de baches en diferentes zonas del municipio de Hermosillo, Sonora, en relacion a factores socioeconomicos.
Exploratory data analysis about the socioeconomic impact COVID-19 made on nordic countries.
A list of resources related to child protection, domestic abuse, legal and other resources for research purposes.
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.
Realizar uma exploração de dados em uma base socioeconômica e responder as perguntas de negócios
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.
The Africa Women Journalism Project (AWJP) supports African women journalists in reporting on underreported and underrepresented communities.
Análise Exploratório dos dados socioeconômico.
Structural equation modeling of the household drivers of seagrass dependence for fishing.
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