This study aims to uncover combinations of socio-economic characteristics associated with high income in New York. The data are drawn from the American Community Survey (ACS) Public Use Microdata Sample and cover a five-year period from 2019 to 2023. The variables included in the dataset allow for the analysis of relationships among individuals’ socio-economic characteristics. The analysis will be conducted using the Apriori algorithm, a method of association rule mining. Applying the Apriori algorithm will enable the identification of combinations of characteristics that are commonly associated with high income in New York.

Análise de Sobrevivência: Estudo do tempo até um evento ocorrer Estimador de Kaplan–Meier Comparação entre grupos (ex.: teste log-rank)

Este visor localiza los Grandes Incendios Forestales de la Comunidad de Madrid (>100 ha) en el periodo 2001-2024 con cartografía detallada para los que superaron las 1000 ha.