Primer trabajo del curso Statistics Programming for Business Analytics

INTEGRANTES: - Jimena Cacho - José Andia - Angella Bruno - Mario Calle - Pablo Aguilar

Hicimos varios modelos de regresion lineal y logistica

This short exercise demonstrates how to improve the readability of seasonal plots by replacing numeric day-of-year (DOY) values with month-based labels on the x-axis. Using surface temperature data from the Scottish Coastal Observatory at Stonehaven, I show how even a small change in labeling can make time-series patterns easier to interpret — especially for broader audiences. The approach compares the default DOY labeling and an enhanced version with month separators and initials.

ΛΟΓΙΣΤΙΚΗ ΠΑΛΙΝΔΡΟΜΗΣΗ (ΕΠΕΚΤΑΣΗ ΑΣΚΗΣΗΣ ΜΕ ΠΡΟΒΛΕΨΗ) - Στο dataset infert