This brief investigates whether external military intervention is associated with increased conflict intensity, focusing on two African cases with contrasting patterns: The Democratic Republic of Congo (DRC) and Uganda. Using the UCDP/PRIO Armed Conflict Dataset (v24.1), I analyze all conflict years from 1962 to 2023 in both countries, classifying each year based on the presence of external military actors and whether the conflict escalated to war-level intensity (defined as ≥1,000 battle-related deaths).

mobile prices classification

This is my final submission for the python assignment :)

Notes for Metrics III, Spring 2025, taught by Michael Kuhn

This R Markdown document demonstrates how to apply the Friedman test to analyze data from a sensory ranking test. Sixty panelists evaluated four beverage formulations with different mango-to-passion-fruit ratios. The analysis includes data loading, Friedman test application, post-hoc comparison of mean ranks using the agricolae package, and result visualization. Ideal for those working in sensory science or food product development.