The project explores how U.S. states differ in their ability to produce and meet their own energy needs. The interactive map highlights where production strongly exceeds consumption and where states remain heavily dependent on incoming supply. These patterns helped me understand the regional imbalances shaping today’s energy security challenges.

Supplementary visualization of Quasi-Poisson Regression model used in STA321 final project

The table is designed to present data in a clean and consistent manner, allowing readers to quickly identify trends across departments and compare employee attributes such as age, salary, and Gender.

This report analyzes how district spending, teacher experience, and economic disadvantage relate to STAAR performance across Texas school districts. Using correlations and a linear regression model, the study shows that poverty is the strongest predictor of outcomes, while instructional spending and teacher experience contribute positively. The model explains about half of the variation in district performance.

Observed vs. predicted temperature at IDSW, 1995-2016

Modelo de regresión para estimar sexo a partir de dos variables, Longitud Máxima de Clavícula Derecha y Circunferencia del Punto Medio de Clavícula Derecha.

Observed vs. predicted temperature at LGNW, 1995-2016

Observed vs. predicted temperature at BON, 1995-2016