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

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Terrorism-Analysis

Objectives:

  • An elaborate exploratory data analysis on the dataset from the Global Terrorism Dataset.
  • The analysis comprised of multiple questions which helped in deriving insights about terrorism hot spots and security questions
  • This project was done as a part of the internship at the sparks Foundation

Packages Used:

  • Pandas, Numpy, Matplotlib, Seaborn, Plotly

Questions:

  • Total no of attacks in every year

  • The 20 countries with most attacks

  • Top 20 Countries with over 24 hour attacks

  • Top 20 Countries where most people were killed

  • Region-Wise attacks


  • Weapons used in most attacks
  • Most Weapons Used across the years
  • People killed by various weapons
  • success vs unsuccess mirroring each other on the same axis.
  • regions attacked across the years

  • most active terror groups
  • kills by terror group
  • weapons used by terror groups mostly
  • nationality targetted by terror groups

  • Most Common Targets
  • Target Types Attacked by most active terror groups

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

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