There are 4 repositories under global-terrorism-database topic.
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
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
Used the Global Terrorism Database to Explore Features of Suicide Bombings
Exploratory Data Analysis on dataset Global Terrorism.As a defence or security analyst we have to find hot zone of terrorism.
Visualization/ kernels in R using datasets on Kaggle.
This project used machine learning to understand characteristics of terrorist groups that engage in suicide bombings.
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.
The Spark Foundation Task-------->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
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
In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.
This is an information visualization project of Global Terrorism Database with Yingrong Mao.
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.
Creating a dashboard to generate plots and infographics based on the Global Terrorism Database.
Analysis and Visualization for the Global Terrorism Dataset including ANOVA tests volcano plots and Topological Data Analysis applications https://www.start.umd.edu & https://www.kaggle.com/START-UMD/gtd#globalterrorismdb_0718dist.csv
As a Data Analyst Intern at Intern Career my task is to create a Power BI dashboard that provides a comprehensive overview of global terrorism trends and patterns.
A web-based visualization of the Global Terrorism Database using D3.js.