Gitbook version: https://pr0x2b.github.io/masters_thesis_on_global_terrorism/

A visualization of k-means clustering on terrorist attack locations

Global Terrorism Database Interactive Dashboard

KMeans Clustering on Global Terrorism Database

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

This project used machine learning to understand characteristics of terrorist groups that engage in suicide bombings.

Exploratory Data Analysis on dataset Global Terrorism.As a defence or security analyst we have to find hot zone of terrorism.

Collaborative visualization task

Creating a dashboard to generate plots and infographics based on the Global Terrorism Database.

Visualization/ kernels in R using datasets on Kaggle.

Used the Global Terrorism Database to Explore Features of Suicide Bombings

This repository contains an Exploratory Data Analysis (EDA) on the Global Terrorism Dataset. The EDA was performed using Python's Pandas, NumPy, Matplotlib, and Seaborn libraries to identify the hot zones of terrorism and gain valuable insights from the dataset.

This project is an attempt to use START Global Terrorism Dataset to target a regression problem and identify region for probable terror attack. Predict number of casualties in a terrorist attack, based on a custom metric.

A web-based visualization of the Global Terrorism Database using D3.js.

This is an information visualization project of Global Terrorism Database with Yingrong Mao.

A comprehensive analysis of the GTD, to uncover global terrorism patterns, trends, and impacts through data-driven analysis. Involves rigorous analysis of most used attack & weapon types; favourite targets; yearly distribution of casualties, no. of attacks, success rates, and more - both holistic and for specific countries and terror organizations

Bu analiz, insanların mutluluğu ve ülkeleri arasındaki bağlantıyı değerlendirecektir.