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

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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.

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!

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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

License:MIT License


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