terrorism-analysis

Global Terrorism Catalogue Explorer

The project analyses and visualises global terrorist attacks over the time frame of 1970 to 2019. Points out and analyses trends of over 2,00,000 terror attacks, their attackers and studies various other features

Stanford's Militant Map in Neo4j

Exploratory data analysis of the Global Terrorism Database (GTD) using Python and Jupyter Notebook. The project visualizes worldwide terrorist activity from 1970 to 2017 with interactive and static plots, revealing trends across time, regions, and perpetrator groups. Results are documented in a scientific paper included in the repository.

Data wrangling and Visualization in R

Global Terrorism Analysis dashboard created in power bi to analysis terrorist activities around the worldt

Civic threat convergence grid. This was a project build to test some new things. mainly non-Supabase-powered tables and Postgres. In this case, neon. I also wanted to try some new design elements. lol

Data Analysis Projects

Interactive Power BI dashboard analyzing global terrorism trends using GTD with KPIs, Map by Squillion, TMap, Filled Map, slicers, and drill-through analysis.

The spark Foundation Internship-GRIP MAR21

Power BI Dashboards and Power Point Presentations

Targeted Individuals of Russia :: Psyterror of "Psyops" (in russia: stupid gov mil.tech)

Dataset relating to terrorism in burkina

Statistically Analyzing Global Terror Attacks by Year

Advanced Exploratory Data Analysis (EDA) and longitudinal time-series modeling of the Global Terrorism Index (GTI) 2012-2022. Built with Python, Pandas, and Seaborn to analyze 47,800+ incidents across 163 countries.

An insightful exploration of the dataset from the Global Terrorism Dataset. This project was part of the internship with The Sparks Foundation.

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.

This is an interactive dashboard which is created using python and bokeh library to visualize and get insights about terrorist attacks across the world from 1970 to 2000..

Madrid Train Bombing Network Centrality Analytics and Community Detection. Second Assignment for Data Analytics course @unimib18/19.

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.