Script desenvolvido para o mini-curso de R durante a Quarta Semana da Demografia na Univeridade Estadual de Campinas (UNICAMP)

This is lab 12 submisison for Epi553.

Poster for Japanese Association for Mathematical Sociology, Summer 2025

Week 12 analysis examining temporal patterns in Ames housing market. Creates time series from Yr.Sold/Mo.Sold, aggregates to monthly median prices, detects linear trends with piecewise boom-bust-recovery phases, performs STL seasonal decomposition revealing $20K summer-winter swing, and illustrates autocorrelation with ACF/PACF showing trend, seasonality, and persistence.

Actividad 2

Atlantic Storms & Rising Temperatures: A 140-Year Data Story This analysis examines 173 years of Atlantic hurricane data from NOAA's HURDAT2 database alongside NASA GISTEMP global temperature records to explore whether warming oceans are reshaping Atlantic storm activity. Using R, the study tracks trends in storm frequency, hurricane counts, and peak wind speeds from 1880 to 2023. Pearson correlation and Mann-Whitney U tests compare the pre-1980 and post-1980 climate eras, revealing statistically significant shifts in both storm count and intensity. Key findings show that total storm frequency has increased alongside rising global temperatures (r = 0.556, p < 0.05), while the post-1980 era produced measurably more active hurricane seasons than the cooler decades before it. The 1970s marked a pivotal turning point — a storm activity peak that preceded the modern warming-driven surge now visible in the data. This project was completed as part of a data science capstone and demonstrates applied skills in time series visualization, statistical hypothesis testing, and climate data analysis using R Markdown.

Actividad 3

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