Entrega de la actividad 1

Time Series Component Analysis Decomposing the time series yields the following components: Trend: The trend component is an indication of the gradual increase in the sales of used cars over time, showing a long-term upward movement in the data. Seasonality: There is a distinct repeating seasonal pattern, suggesting that used car sales fluctuate consistently each year. Cyclic Component: There are no marked cyclic variations apart from the seasonal ones; therefore, economic cycles seem not to be a contributing factor in this data set. Residual: The residual component includes random fluctuations that cannot be described by either trend or seasonality and, therefore, represents unpredictable variations in sales data. However, from the Augmented Dickey-Fuller test result, this series is stationary since the p-value falls below the threshold 0.05 of 0.01, meaning there is evidence that this is not a series with a unit root; thus, no differencing would be required in order to apply some time series models.

Final paper on association rules to pass Unsupervised Learning at the University of Warsaw

Este informe final detalla todo el proceso de análisis integral, las conclusiones y las recomendaciones estratégicas para la evaluación de la oferta inmobiliaria urbana.

the paper shows lifestyle patterns by using association rules

Histogram and Boxplots of Assignment 1

final submission !