📊 Exploring Why Civil Resistance Works

A statistical analysis replicating key findings from "Why Civil Resistance Works" by Erica Chenoweth and Maria J. Stephan, investigating the effectiveness of nonviolent versus violent campaigns.

✨ Features

1. Historical Trends Analysis

   • Frequency analysis of nonviolent vs violent campaigns by decade
   • Success rate comparison between campaign types
   • Visualization of campaign trends over time

2. Participation Analysis

   • Investigation of the 3.5% rule
   • Analysis of largest resistance campaigns (1946-2014)
   • Statistical validation of participation thresholds

3. Statistical Modeling

   • Logistic regression analysis of campaign success factors
   • Control for population size and regime type
   • Confidence interval analysis for success probability

🛠️ Installation

1. Clone the repository:

git clone https://github.com/marsidmali/Exploring-Why-Civil-Resistance-Works.git
cd Exploring-Why-Civil-Resistance-Works

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

📁 Project Structure

Exploring-Why-Civil-Resistance-Works/
│
├── data/                # Dataset files
│   ├── NAVCO 1.2 Updated.xlsx
│   └── p5v2018.xls
│
├── notebooks/          # Jupyter notebooks
│   └── Exploring-Why-Civil-Resistance-Works.ipynb
│
├── requirements.txt    # Dependencies
└── README.md          # Documentation

🚀 Usage

1. Launch Jupyter Notebook:

jupyter notebook

2. Open Exploring-Why-Civil-Resistance-Works.ipynb
3. Run all cells to perform the analysis

📊 Data Sources

• NAVCO 1.2 Dataset
• Polity5 Annual Time-Series

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.