https://github.com/sajjad425/terrorism-eda

Perform EDA on Global Terrorism dataset. As a security defense analyst try to find out the hot zone. What all security issue and insight you can derived by EDA.
https://github.com/sajjad425/terrorism-eda

powerbi powerbi-desktop

Last synced: 2 days ago
JSON representation

Perform EDA on Global Terrorism dataset. As a security defense analyst try to find out the hot zone. What all security issue and insight you can derived by EDA.

• Host: GitHub
• URL: https://github.com/sajjad425/terrorism-eda
• Owner: sajjad425
• Created: 2024-07-14T04:24:32.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-14T04:36:53.000Z (4 months ago)
• Last Synced: 2024-07-14T05:28:15.755Z (4 months ago)
• Topics: powerbi, powerbi-desktop
• Homepage:
• Size: 2.81 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        


  

# Terrorism Dataset




![terrorismEDA](https://github.com/user-attachments/assets/15a3a670-7fdd-48da-90d1-df18b15b9382)

## Dataset Description

The Terrorism dataset is a comprehensive collection of incidents involving terrorism worldwide, spanning multiple decades. It provides detailed information on various aspects of each attack, making it a valuable resource for researchers, policymakers, and analysts studying terrorism trends, patterns, and consequences.

## Dataset Link

You can access the dataset via the following link: [Download Terrorism Dataset](https://drive.google.com/file/d/1rDWTduILIABqPRmYYIvLyS85mYTDBmYa/view?usp=sharing)

## Key Features

- **Extensive Coverage**: Covers a wide range of terrorist activities, including bombings, assassinations, kidnappings, and other violent acts.

- **Detailed Information**: Includes information on the date, location, perpetrators, targets, casualties, and motivations behind each attack.

- **Global Perspective**: Provides data from countries around the world, allowing for comparative analysis and identification of global trends.

- **Temporal Dimension**: Offers a historical perspective on terrorism, enabling the study of changes over time.

## Potential Research Questions

- What are the primary drivers of terrorism?

- How have terrorist organizations evolved over time?

- What are the most common targets of terrorist attacks?

- What are the consequences of terrorism on societies and economies?

- Are there specific regions or countries more susceptible to terrorism?

## Columns in the Terrorism Dataset

The dataset typically includes a variety of columns, providing detailed information about each incident. Some common columns may include:

- **Event ID**: A unique identifier for each incident.

- **Date**: The date of the attack.

- **Location**: The country, region, and city where the attack occurred.

- **Perpetrator**: Information about the terrorist group or individual responsible.

- **Target**: Details about the target of the attack, such as a government, organization, or individual.

- **Casualties**: The number of fatalities and injuries caused by the attack.

- **Motivation**: The stated or inferred motive behind the attack.

- **Weapon**: The type of weapon used in the attack.

- **Outcome**: The result of the attack, such as success or failure.

## Project Description: Analyzing Terrorism Trends

A potential project using this dataset could focus on analyzing terrorism trends over time. This could involve:

- **Identifying Patterns**: Examining patterns in terrorist activity, such as changes in the frequency, location, or targets of attacks.

- **Examining Trends**: Analyzing trends in the use of different tactics, weapons, or motivations by terrorist groups.

- **Assessing Impact**: Evaluating the impact of terrorism on societies, economies, and political systems.

- **Predicting Future Trends**: Developing models to predict future trends in terrorist activity.

## Tools and Techniques

A variety of tools and techniques can be employed to analyze the terrorism dataset. Some common approaches include:

- **Data Cleaning and Preparation**: Cleaning the data to address inconsistencies, missing values, and outliers.

- **Exploratory Data Analysis (EDA)**: Using descriptive statistics and correlation analysis to explore the data and identify patterns.

- **Data Visualization**: Utilizing tools such as Power BI to create insightful dashboards and reports.

By combining these tools and techniques, researchers can gain valuable insights into the complex phenomenon of terrorism and inform policymaking and prevention efforts.