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Global-Terrorism-Analysis

Description:

In this project I perform Exploratory Data Analysis on Global Terrorism Dataset which includes data cleaning, missing value treatments, data manipulation. As a Security/Defense Analyst, the objective behind this project contains investigation of data, discovering patterns, creating dashboard from data with proper charts, to find out the hot zone of terrorism and to find out security issues and insights out of EDA. The Global Terrorism Dataset is a large amount of data that consists 135 columns and 181691 rows capturing terrorism data globally from 1970 to 2017. After data transformation it remains 25 columns and 181691 rows. The aim of the project is to shed light on this important issue through the dashboard and proving valuable insights to Security Agencies to take proper action .

Insight:

From the Dashboard, some valuable insights can be found

  • From 1970 to 2017 total 182K attack occurred in 205 countries with 89% success rate killing 412k and injuring 524k people in total.
  • Middle East and North Africa region is hot zone in terrorism with 50k total attack, following south Asia with 45k total attack.
  • Iraq is the most effected country with Baghdad as most targeted state with 7644 terrorist attack killing 21k people followed by UK with 4498 and Pakistan with 3710 total attack.
  • 2014 has highest amount of terrorist attack (16.9k). 2017 has 10.9k tota attack which is 19.78% less than the previous year attack.
  • Globally there are 3537 total active terrorist group targeting 216 nationality.
  • Taliban is the most dangerous group causing 6565 attacks with 89% success rate and Afganistani as their most targeted nationality .
  • Private and Citizen & Property are most common target type and civilians are common target .
  • Bombing/ Explosion is the common attack type followed by Arm Assault and Assassination .
  • In 1299 cases ransom are taken and ISIL group taken 14 times ransom worth 1B in total.
  • 6633 cases are suicidal attack.
  • 97.93% cased damaged less than 1M property and 2.03% cases damaged major property between 1M to 1B,