This project was made for a Peace & Security Studies course. The aim was to choose variables to create a (in)security index to ranks countries. I choose to rank based on homicide rates (per 100,000 inhabitants) using a logarithmic scale, control over territory (if < 95%), and armed conflict deaths (if != 0). To be able to observe the results of the index I used ChatGPT (with major debbuging made by myself) to process the original data using Python.
Bastian Herre, Fiona Spooner and Max Roser (2013) - “Homicides” Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/homicides' [Online Resource]
Uppsala Conflict Data Program (2023); Natural Earth (2022); Population based on various sources (2023) – with major processing by Our World in Data. “Death rate in armed conflicts based on where they occurred” [dataset]. Uppsala Conflict Data Program, “Georeferenced Event Dataset v23.1”; Natural Earth, “Large scale data (1:10m Cultural Vectors), Admin 0 Countries 5.1.1”; Various sources, “Population” [original data]. Retrieved April 11, 2024 from https://ourworldindata.org/grapher/death-rate-in-armed-conflicts
V-Dem (2023) – with major processing by Our World in Data. “Central estimate” [dataset]. V-Dem, “Democracy and Human rights, OWID based on Varieties of Democracy (v13) and Regimes of the World v13” [original data].