Global Terrorism Analysis

Chandra Shekhar Saraswat

Data Scraper
Data Visualizer
Data Analyst
pandas
Python
scikit-learn
The project aims to analyze global terrorism data to identify patterns and trends in terrorist activities. The
analysis is based on the Global Terrorism Database, which contains information on terrorist attacks worldwide
from 1970 to 2017.The project started with data cleaning and preprocessing to ensure that the data is accurate
and consistent then we used statistical methods to find out insights from data and with the help of different
visual charts we get pictorial representation of insights which helped us to understand what were the factors
that lead to terrorism and the landscape of terrorism is different in different theatres across world, multiple state
sponsored actor and non state actors were there with different end goal and to achieve those end goal different
types of narrative building has been constructed and implemented among the masses of different countries
by indoctrination or by forceful means and last but not the least the ultimate goal of the project is to provide
insights that can be used by governments,law enforcement agencies,and other stakeholders to develop effective
counter-terrorism strategies.
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