netebom/mortality_indicators_in_Africa

A deep-dive into various mortality indicators for African countries # 🌍 Mortality and Immunization Trends in Africa ## 📌 Project Overview This project explores mortality trends in Africa and their relationship with immunization coverage using public health datasets from the World Health Organization (WHO). It aims to uncover disparities in maternal, child, and youth mortality and propose data-driven policy interventions. --- ## 🎯 Objectives - Analyze causes and rates of mortality across African regions - Study immunization coverage and its correlation with survival rates - Merge multiple WHO datasets into a unified analytical view - Provide actionable public health insights and visualizations --- ## 📊 Datasets Used - **Births Attended by Health Staff** - **Infant, Child, and Youth Mortality Rates** - **Maternal Mortality by Region** - **Vaccination Coverage** - **Cause of Death in Children Under 5** - **Health Protection Coverage** All datasets filtered to include only African countries using ISO codes. --- ## 🧰 Tools & Libraries - **Python**: Pandas, NumPy - **Visualization**: Matplotlib, Seaborn, Plotly Express, Plotly GraphObjects - **Jupyter Notebook** --- ## 🧪 Key Steps 1. **Data Cleaning & Integration**: - Renamed columns, handled nulls, matched country names to ISO codes - Merged 8 datasets by `Entity`, `Code`, and `Year` 2. **Exploratory Data Analysis (EDA)**: - Trend lines for mortality over time - Bar plots and heatmaps for regional comparisons 3. **Visualization & Insight Generation**: - Identified countries with highest/lowest health coverage - Compared immunization and child survival rates across Africa --- ## 📊 EXPLORATORY DATA ANALYSIS The following visualizations show trends and outcomes of analysis. The summary statistics of the concatenated dataframe (mentioned earlier) revealed the various count of records, mean, standard deviation, minimum, median, and maximum values of each numerical column. - Leading Causes of various mortality rates - African Countries by various Mortality rates …