b 01 – “Global Health Insights (1960–2024)” is now live on GitHub! What’s inside: • Real-time World Bank data pulled automatically with {WDI} • The iconic Gapminder-style animated bubble chart (1960 → 2023) – now with latest 2024 estimates • Population-weighted global life expectancy trend • Healthcare spending vs life expectancy analysis across 200+ countries • K-means clustering of health systems • 100% reproducible, heavily commented, beginner-to-advanced friendly

ExamIDs2025B

SALDO AL 31 DE AGOSTO DE 2025 Cifras en miles de dólares USD.

For my Applied Statistics final project at Hanover College, my team and I analyzed the Pokémon Go Evolutions dataset using R. This project explored whether a Pokémon’s evolved combat power (CP_new) can be predicted using data available before evolution. We used R to clean and summarize the Pokémon Go dataset, created multiple visualizations for exploratory data analysis, and tested two regression models: 1. Simple Regression: CP_new predicted only by pre-evolution CP 2. Multiple Regression: Added HP, species, attack values, weight, and height The simple model explained most of the variation (adj. R squared ≈ 0.92), while the multiple model improved fit to adj. R squared ≈ 0.99. We also checked regression assumptions using diagnostic plots, which showed no major issues. Our results indicate that pre-evolution CP is the strongest predictor of evolved CP, and including other variables makes the model even stronger.

Processo Seletivo 2025/2026.

Hecho por Jaime Diaz, Ana Carolina Perez, Daniel Lopez y Carlos acevedo