Afyana/Infant_mortality_analysis

A comprehensive data science project analyzing and forecasting infant mortality trends in Ethiopia using World Bank data # Leveraging World Bank Data to Model and Forecast Infant Mortality in Ethiopia : A Comparative Study with East African Nations ## Project Overview This project presents a comprehensive time-series analysis of Infant Mortality trends in similar East African countries using World Bank health indicators. The study combines data cleaning, exploratory data analysis(EDA), comparative data analysis, predictive modeling and provides an interactive dashboard for data-driven public health insights. ## Project Structure InfantMortalityProject/ │ ├── screenshot/ │ └── (dashboard screenshots and visual outputs) │ ├── Cleaned_data.csv │ └── Cleaned World Bank health indicators dataset used for analysis and modeling │ ├── arima_test_results.csv │ └── Actual vs predicted values for ARIMA model evaluation │ ├── comparative_forecasts_all.csv │ └── Forecasted infant mortality rates for selected East African countries │ ├── ethiopia_forecast_2024_2030.csv │ └── ARIMA forecast results for Ethiopia (2024–2030) │ ├── ethiopia_arima_model.pkl │ └── Trained ARIMA model saved for reuse │ ├── dashboard.py │ └── Plotly Dash application for interactive visualization and forecasting │ ├── README.md │ └── Project documentation and instructions │ ├── requirements.txt │ └── Python dependencies required to run the project ## Features * **Exploratory Analysis:** Univariate,Bivariate and Multivariate analysis * **Comparative Analysis:** Compare Ethiopia's infant mortality trends with Kenya, Tanzania, Rwanda, and Uganda. * **ARIMA Forecasting:** Predictive modeling to forecast infant mortality rates up to 2030. * **SDG Tracking:** Visual assessment of progress towards the UN Sustainable Development Goal target. * **Interactive Dashboard:** Built with Plotly Dash for real-time data exploration. * **Data-Driven Insights:** Generate actionable policy recommendations based on model outputs. ## Methodology 1. **Data Acquisition: …