Notas generales de los modelos AR, MA, ARIMA, y SARIMA.

Vanessa Emanuela Lesmana/5006221042

Brief review of the crash data along the Oregon Coast Bicycle Route

Using data from the National Youth in Transition Database at the National Data Archive on Child Abuse and Neglect, I am employ hierarchical clustering, random forest algorithms, and logistic regression modeling to assess importance and predictive power of a number of variables to help understand patterns in transitioning foster teen’s use of public financial assistance

relation valorisation à la journée, patients à 80%

This project analyzes the Texas housing market from 2010 to 2014. The dataset includes four cities: Beaumont, Bryan-College Station, Tyler, and Wichita Falls. The aim is to understand spatial and temporal dynamics in real estate through descriptive statistics, visualizations, and derived indicators such as listing effectiveness.