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elias-m-b/Understanding-Political-Violence-in-Ethiopia

Domaine:

peace and security

Type de record:

project
Créateur:
eli
Hôte:
# Understanding Political Violence in Ethiopia This repository contains the Jupyter Notebook file (**understanding_political_violence_in_ethiopia.ipynb**) for the comprehensive analysis of political violence in Ethiopia. The project leverages the ACLED dataset, which provides detailed information on conflict events, including actors, event types, locations, and fatalities. ## Project Overview This project aims to provide a comprehensive analysis of political violence in Ethiopia by leveraging the ACLED dataset. The dataset contains detailed information on conflict events, including actors, event types, locations, and fatalities. Through exploratory data analysis (EDA), we will uncover insights into the dynamics of political violence, patterns of actor interactions, and geographical trends within Ethiopia. By examining this data, we seek to better understand the nature and context of political conflicts in the region. **Copyright:** © 2023 ACLED. All rights reserved. **Usage Note:** Users must adhere to ACLED’s Terms of Use, utilizing data responsibly and in good faith. Attribution Policy requires clear acknowledgment of ACLED in any use, specifying the date of access, manipulated data details, and proper citation formats. ACLED encourages responsible academic use but monitors and addresses misuse. ## File - `Slide Presentation of the Analysis.pdf`: This is a slide presentation documenting the data analysis process and the findings of the project. - `understanding_political_violence_in_ethiopia.ipynb`: Jupyter Notebook file containing the code and analysis for the Political Violence Analysis in Ethiopia. - `README.md`: This file provides information about the repository and the project. ## Analysis The analysis within this notebook explores various aspects of political violence, utilizing the ACLED dataset to gain insights into conflict dynamics. It includes data cleaning, exploratory data analysis (EDA), and visualizations to present key findings. ## Usage …

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