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Global Terrorism Dataset

The Global Terrorism Dataset contains data on over 181,000 terrorist attacks worldwide. In addition to city and country information, the dataset provides latitude and longitude for each incident, offering precise location data useful for visualization. This dataset can help identify solutions to various problems through data analysis and visualization techniques. By leveraging its rich features, one can assess attack intensity by year and region, detect temporal or geographic trends, and examine relationships between attack characteristics and success or failure rates. Such analysis assists governmental organizations in making informed decisions to enhance public safety and prepare for potential attacks.

Updated 5/26/2020
github

Description

Dataset Overview

Dataset Name

  • Global Terrorism: Terrorist attacks around the world

Dataset Description

  • Contains worldwide terrorist attack data, totaling over 181,000 records.
  • Covers the period from 1970 to 2017, excluding 1993.
  • Provides detailed location information (city, country, latitude, longitude) facilitating data visualization.
  • Can be used to analyze attack intensity, temporal or geographic trends, and the relationship between attack features and success rates.

Dataset Issues

  • Contains incomplete, inconsistent, or redundant data.
  • Specific problems include invalid month/day values (0), redundant target and weapon type/subtype fields, handling of unknown values, missing records for 1993, and unknown perpetrators or motives.

Dataset Processing

  • Available from Kaggle and the Global Terrorism Database, University of Maryland.
  • Cleaning steps involve fixing missing values, removing redundant columns, and focusing on distinct target and weapon types.

Dataset Applications

  • Governments can use it for decision‑making to improve citizen safety.
  • Analysts can study the social, economic, and cultural impacts of terrorism.
  • International crime agencies can discover patterns in terrorist attacks.

Tools & Technologies

  • Data cleaning and analysis: Python, R, OpenRefine, Excel.
  • Data visualization: Tableau, ggplot.

Dataset Link

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Topics

Terrorism
Data Analysis

Source

Organization: github

Created: 12/5/2019

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