This file is only published for testing purposes, independent of studies. Data is extracted from the University of Maryland, College Park's Global Terrorism Database (GTD) catalogue, and University of Gothenburg's Quality of Government (QoG) composite dataset, combining UN data with other indices.

This file is only published for testing purposes, independent of studies. Data is extracted from the University of Maryland, College Park's Global Terrorism Database (GTD) catalogue, and University of Gothenburg's Quality of Government (QoG) composite dataset, combining UN data with other indices.

This file is only published for testing purposes, independent of studies. Data is extracted from the University of Maryland, College Park's Global Terrorism Database (GTD) catalogue, and University of Gothenburg's Quality of Government (QoG) composite dataset, combining UN data with other indices.

This file is only published for testing purposes, independent of studies. Data is extracted from the University of Maryland, College Park's Global Terrorism Database (GTD) catalogue, and University of Gothenburg's Quality of Government (QoG) composite dataset, combining UN data with other indices.

This file is only published for testing purposes, independent of studies. Data is extracted from the University of Maryland, College Park's Global Terrorism Database (GTD) catalogue.

This report explores data quality issues in the nycflights13::flights dataset, including missing values, outliers, and duplicate records. The steps include data inspection, visualization, and cleaning.

Practica de futuros (laboratorio #2)

This report analyzes sales turnover irregularities in the International toy supply chain. Notably, sales linked to a U.S Sales Representatives display erratic patterns lacking linear trends or predictable frequency. Monte Carlo simulations reveal flawed modeling assumptions, resulting in unsustainable bias and uncorrelated variables such as quantity and price. These patterns indicate systemic issues in data quality or manipulation. The sales data, largely from U.S. entities manufacturing in China, reflects sparse and inconsistent transactional behavior. Frequency modulation without seasonal logic further challenges forecasting accuracy. Tax inconsistencies and potential regulatory oversights also raise concerns over pricing structure integrity. A corrected simulation approach is recommended to restore credibility and enhance decision-making reliability.

examen parte uno