Full script builds the panel, merges event data (with alias/parent splits),tracks exits and market concentration. 1. PI: Mike Jones - UAA-ISER - msjones6@alaska.edu 2. RP: Katie Longuevan - UAA-ISER - kmlonguevan@alaska.edu Purpose of this code: - Build a detailed carrier-route-year dataset for Alaska (post-2002). - Add labels for route type (mainline vs. bush) and carrier exit timing. - Track passenger, freight, and mail totals per carrier per route per year. - Enrich the dataset with carrier counts per route and route-year.

Workshop 1 - Statistics for AI

This workshop uses the ISLR Carseats dataset to practice: - Correlation between business variables (e.g., Sales, Price, Advertising, Income). - Two-way plots (scatter, pair plots) and box plots. - ANOVA (one-way and two-way with interaction) using categorical marketing/retail factors . - A short preview of regression models motivated by the ANOVA results, including AIC comparison and robust standard errors.

map of newly acquired com stores + surrounding (5 miles) stores with their HoOps from P5 to P7 color coded

rMarkdown html code for project completed 8/12/25. Description of case study and analysis can be found at https://marisaphillipsfortworth.blogspot.com/2025/08/world-bank-case-study.html

Concepção de um modelo que respeite o organograma da universidade, com a distribuição sendo realizada primeiro ao nível dos centros e depois, dentro de cada centro, aos departamentos. Como a maioria dos indicadores está computada para os cursos de graduação, e estes estão alojados em centros, este modelo permite que as variáveis sejam agregadas por centro.