https://github.com/saro0307/exploratory-data-analysis-terrorism

Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023
https://github.com/saro0307/exploratory-data-analysis-terrorism

colaboratory data-science machine-learning python

Last synced: about 2 months ago
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Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023

• Host: GitHub
• URL: https://github.com/saro0307/exploratory-data-analysis-terrorism
• Owner: saro0307
• License: mit
• Created: 2023-09-15T11:47:41.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-18T06:19:33.000Z (over 1 year ago)
• Last Synced: 2023-09-18T07:32:45.768Z (over 1 year ago)
• Topics: colaboratory, data-science, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 180 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Terrorism Data EDA

Welcome to the Exploratory Data Analysis (EDA) program focused on terrorism data.

## Introduction

This repository is a resource for data enthusiasts interested in exploring and analyzing terrorism-related datasets.

## Dataset

We primarily use the Global Terrorism Database (GTD), an open-source database containing information on worldwide terrorist attacks. Download it from [Global Terrorism Database](https://www.start.umd.edu/gtd/).

## Getting Started

1. Clone this repo.

2. Install required Python libraries (`pip install -r requirements.txt`).

3. make sure to import dataset to your local IDE

4. Open a Jupyter Notebook or your preferred IDE to start exploring the data.

## EDA

Explore and analyze the terrorism dataset with provided Jupyter Notebooks and Python scripts. Covering data loading, visualization, temporal trends, geographical patterns, actors, and attack methods.

## Contributing

Fork, make changes, and create pull requests to enhance this resource. Collaborate and improve the analysis.

## License

This program is provided under the MIT License. Feel free to use, modify, and share, with proper attribution and adherence to the license terms.

Happy analyzing!