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This repository deals with exploring global terrorism trends analyzing the Global Terrorism Database to uncover temporal patterns, identify top terrorist groups, examine attack types, and gain insights into geographical and success/failure dynamics.
Global Terrorism Data Analysis consists information that includes terrorist attacks around the world from 1970 through 2017. As a Security/ Defense Analyst, the main objective of the project is to find out hot zone of terrorism, security issues and key insights through Exploratory Data Analysis.
In this repository we will develop in Streamlit a Webapp to explore the Global Terrorism Database and predict the success of the attack using a machine learning classification algorithm.
Dataset and R script used to produce the research paper titled "Inciting Violence: The Impact of Internet Propaganda on Terrorist Outcomes" located here: https://dx.doi.org/10.2139/ssrn.4035908
This project delves into a comprehensive exploration of terrorism worldwide, drawing critical insights from extensive data analysis. This study unravels the some key findings that shape our understanding of global terrorism dynamics.