Entrega Actividad Unidad 2 - Modelos estadísticos para la toma de decisiones - C&A Cali

To analyze the associations between employee characteristics (department, position, performance, and gender) and salary groups using a parallel sets visualization.

This project analyzes pooled 2020–2022 National Survey of Children’s Health (NSCH) data to examine the association between household language environment and currently impairing mental and behavioral conditions among U.S. children ages 2–17 years. Using survey-weighted logistic regression models, the analysis evaluates whether bilingual and non-English households differ from English-only households after adjusting for sociodemographic factors and adverse childhood experiences (ACE burden). The study aims to clarify whether observed language-related differences persist independent of early life adversity and structural determinants of health.

Por: Catherin Salazar

Por: Catherin Salazar Pupiales

Se presenta reporte del análisis exploratorio de Dataset Boston.