Recently Published
Risk Parity Portfolio: Construction, Computational Implementation and Out-of-Sample Evaluation
This project presents an empirical study of Risk Parity Portfolio construction in R. It compares Equal Weight, Global Minimum Variance, Naive Risk Parity, and Risk Parity portfolios, implements Newton's Method and Cyclical Coordinate Descent from scratch, and evaluates their out-of-sample performance using a rolling walk-forward backtest.
Prompts_Programación_Civil_2026_2
Prompts_Programación_Civil_2026_2
Math Problems 8/2/26
Math problems of the day for 8/2/26.
Exploring Professional Football Player Performance Using FIFA Legacy Data
This project analyzes the FIFA Legacy Players dataset using R and data visualization techniques. The report explores relationships between player age, overall rating, potential, market value, wages, playing positions, clubs, and nationalities through a combination of scatter plots, bar charts, box plots, histograms, a correlation heatmap, and an interactive Plotly visualization. The objective is to demonstrate how visual analytics can uncover meaningful insights into professional football player performance and characteristics.
0_Instrucciones_para_planes_Semanales_de_Asignaturas
0_Instrucciones_para_planes_Semanales_de_Asignaturas
Data analysis for epidemiology
It is known from studies of pulmonary function in adults who are long-term smokers, that smoking impairs lung function. It is of interest to determine whether early lung damage in seen in child smokers. To address this question, a study was conducted to measure the lung function of 654 children seen for a routine check-up in a particular paediatric clinic. The children participating in this study were asked whether they were current smokers. Other data collected include the measurement of age, height and sex.