This case study uses theoretical modeling to explore an orangutan’s foraging decisions through the lens of the Marginal Value Theorem (MVT). Wawa, an orangutan in the rainforests of Kalimantan, must decide how long to stay in a patch of fig trees where fruit is initially abundant but gradually depletes due to her consumption, competition, and natural ripening cycles. The goal: to identify the point where leaving maximizes Wawa’s long-term gain rate, ensuring efficient and sustainable foraging.

Develop a script in R to calculate and visualize a correlation matrix for a given dataset, with color-coded cells indicating the strength and direction of correlations, using ggplot2’s geom_tile function.

José Daniel Idrobo Mera Dana Sofía Rodas Chica Sebastián Giraldo Sofía Zapata

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Traffic fatalities remain one of America’s most persistent public health challenges. While advances in vehicle safety technology and traffic engineering have reduced overall fatality rates, certain days of the year consistently demonstrate higher risks for deadly crashes. This case study examines temporal patterns in U.S. fatal accidents, seeking to identify the most dangerous days on American roadways and the factors that may contribute to these elevated risks. This case study is related in tidytuesday project that is a weekly social data project for data lovers.

Στο παρόν έγγραφο, παρουσιάζεται αρχικά η δομή των δεδομένων, ακολουθεί η στατιστική ανάλυση και η οπτικοποίηση βασικών χαρακτηριστικών, ενώ στη συνέχεια εφαρμόζεται μοντέλο γραμμικής παλινδρόμησης για την επιλογή των σημαντικότερων μεταβλητών. Σκοπός είναι η ελαχιστοποίηση του σφάλματος και η βελτίωση της προβλεπτικής ικανότητας του μοντέλου.