"Incorporating exploratory data analysis (EDA) techniques in a data science project focused on terrorism. EDA involves visualizing, summarizing, and interpreting terrorism data to reveal patterns, relationships, and potential insights. This critical phase informs subsequent analyses and aids in developing a comprehensive understanding.

An exploratory data analysis on a global terrorism dataset

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Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ ● As a security/defense analyst, try to find out the hot zone of terrorism. ● What all security issues and insights you can derive by EDA? ● You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS) ● Dataset: https://bit.ly/2TK5Xn5

Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ ● As a security/defense analyst, try to find out the hot zone of terrorism. ● What all security issues and insights you can derive by EDA?

Task 4 GRIP : The Sparks Foundation

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This project performs Exploratory Data Analysis (EDA) on the Global Terrorism Database (GTD), focusing on identifying patterns, trends, and regional differences in global terrorist activities from 1970 to 2017.

In this project I performed a exploratory data analysis on the Terrorism dataset which includes of data cleaning , data manipulation, data preprocessing , data visualization Some plots which I used for visualizing the dataset are Histogram , Barplot , Boxplot, Heatmap , Scatter plot , Pairplot ,Regplot etc. 1.Country with the most attacks: Iraq 2.Regions with most Attack:Private Citizens & Property. 3.Year with the most attacks: 2014 4.Month with the most attacks: 5 5.Most Attack Types: Bombing/Explosion 6.City with the most attacks: Baghdad

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The EDA on Terrorism using ML project leverages machine learning for analyzing and extracting insights from terrorism datasets. It involves preprocessing, visualization, and applying ML algorithms for classification and clustering. The project uncovers patterns and trends in terrorism, aiding understanding and counter-terrorism efforts.

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Exploratory Data Analysis (EDA) on Global Terrorism Dataset #TASK4 #GRIP #DEC2020 Thank you

Exploratory Data Analysis - Terrorism (Level-Intermediate) Perform exploratory data analysis on dataset "Global Terrorism" As a security/defense analyst try to find out the hot zone terrorism what all security issues and insights you can derive by EDA? you can choose any of the tool of your choice (python)

Here in this project I have analysed the huge dataset of Terrorism where all the details are being provided

As a security/defense analyst, try to find out the hot zone of terrorism.

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Exploratory Data Analysis on Dataset - Terrorism

** Project done during the Data Science & Analytics Internship at The Sparks Foundation **

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Global Terrorism Exploratory Data Analysis based on Global Terrorism dataset. Also performed the analyses specifically for Iran.

Exploratory Data Analysis on dataset Global Terrorism.As a defence or security analyst we have to find hot zone of terrorism.

Exploratory data analysis on a global terrorism dataset using Python. It includes data cleaning, visualization, and pattern recognition to identify attack types, regions, time trends, and terrorist.

Exploratory data analysis of the Global Terrorism Database (GTD) using Python and Jupyter Notebook. The project visualizes worldwide terrorist activity from 1970 to 2017 with interactive and static plots, revealing trends across time, regions, and perpetrator groups. Results are documented in a scientific paper included in the repository.

This is my 4th task during my internship in Data Science & Business Analytics at The Sparks Foundation. Problem Statement:Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ As a security/defense analyst, try to find out the hot zone of terrorism. What all security issues and insights you can derive by EDA? Dataset: https://bit.ly/2TK5Xn5

EXPLORATORY DATA ANALYSIS - TERRORISM

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Exploratory Data Analysis on Terrorist attack