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In this project I analyse the data of terrorist attacks worldwide and find out some useful insights for us.

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Global Terrorism EDA

The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2017. The GTD includes systematic data on domestic as well as international terrorist incidents that have occurred during this time and now includes more than 180,000 attacks.

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💾 Table of Content

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📖 Goal:

  • The goal of this project was to understand and interpret the nature of terrorism efficiently and comprehensively with the use of data visualizations. A visualization which can be used to calculate the total number of attacks, total kill counts and location based on the selected region and year provides interactive interface to explore this dataset. Users can understand various patterns, trends and correlation in terrorism through visual interpretation and its provided explanation.

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📖 Dataset information:

Dataset link: https://drive.google.com/file/d/1cjnEC2BzLIwkdZ2kEn8XYIxrqUP78PPz/view?usp=sharing

Features in the dataset:

  • Eventid : Unique Id assigned to a terrorist attack.
  • Year : Year of the attack
  • Month : Month of the attack.
  • Day : Day of the attack.
  • Country : Country in which attack took place.
  • Region : Region in which attack took place.
  • Latitude : Latitude co-ordinate w.r.t to world map.
  • Longitude : Longitude co-ordinate w.r.t to world map.
  • Attack : Type of attack.
  • Target : Targeted facility of the attack.
  • Killed : Number of people killed in this attack.
  • Wounded : Number of people wounded in this attack.
  • Summary : Attack description in short.
  • Groupname : Terrorist Group name.
  • Target_type : Name of the Specific entity suffered by the attack.
  • Weapon_type : Weapon type used by the terrorists.
  • Motive : Reason behind the attack.
  • Damages : Damages incurred in dollars($).
  • Damage_txt : Scale of damage done(Minor, Major, Catastrophic)
  • Suicide : Suicide number of terrorists.
  • City : City in which attack took place.

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📖 Technologies Used::

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📜 Credits

< Yash Patil | Pritam Pawar | Mohd. Zahid Ansari>

Contact me for Data Science Project Collaborations

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In this project I analyse the data of terrorist attacks worldwide and find out some useful insights for us.

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