mohaitham22/africa-disaster-dashboard

Africa Disaster Events Analysis Dashboard # 🌍 Africa Disaster Events Analysis Dashboard An interactive Streamlit dashboard for comprehensive exploratory data analysis of Africa disaster events. ## 📋 Project Description This dashboard provides a comprehensive analysis of historical disaster events across Africa, including: - Temporal patterns and trends - Geographic distribution across African countries and regions - Disaster type analysis - Human and economic impact assessment - Advanced statistical analytics ## ✨ Features - **📊 Overview**: Dataset summary and basic statistics - **📁 Data Quality**: Missing values analysis and data completeness - **📈 Temporal Analysis**: Time-series trends and seasonal patterns - **🌍 Geographic Analysis**: Continental and country-level distribution - **💥 Disaster Types**: Categorization and frequency analysis - **📊 Impact Analysis**: Deaths, injuries, affected population, and economic damages - **🔍 Advanced Analytics**: Correlation analysis and custom filtering - **📥 Data Export**: Download full or filtered datasets ## 🚀 Installation ### Prerequisites - Python 3.8 or higher - pip package manager ### Setup 1. **Clone or download this project** ```bash cd "Graduation project" ``` 2. **Install required packages** ```bash pip install -r requirements.txt ``` 3. **Ensure data file exists** Make sure `Book1.csv` is in the same directory as `app.py` ## 💻 Usage ### Run Locally ```bash streamlit run app.py ``` The app will automatically load the `Book1.csv` file and open in your default browser at `localhost` ### Alternative: Using PowerShell ```powershell python -m streamlit run app.py ``` ## 📊 Data Requirements The dashboard expects a CSV file named `Book1.csv` with the following columns (minimum): - Year - Country - Continent - Disaster Type - Disaster Subtype - Total Deaths - No Injured - No Affected - Total Damages ('000 US$) - Start Year - Start Month ## 🌐 Deployment ### Deploy to Streamlit Cloud 1. **Push to GitHub** ```bash git init git …