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

As of July 29, 2026

Math problems of the day for 8/2/26.

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.