asmaachouai/africa-health-eda

# African Health and Economic Indicators EDA ## Project Overview This project explores African health and economic indicators using World Bank open data. The analysis focuses on life expectancy, GDP per capita, population, and health expenditure per capita across African countries. ## Dataset Source Data source: World Bank Health, Nutrition and Population / World Development Indicators. Indicators used: - Life expectancy at birth - GDP per capita - Total population - Current health expenditure per capita ## Tools Used - Python - Google Colab - Pandas - NumPy - Matplotlib - Seaborn - GitHub ## EDA Steps 1. Downloaded real African country-level data from the World Bank API. 2. Loaded the dataset with Pandas. 3. Explored the dataset using `.shape`, `.info()`, and `.describe()`. 4. Cleaned the dataset by: - Handling missing values - Fixing data types - Removing duplicates 5. Created five visualisations: - Histogram - Scatter plot - Bar chart - Box plot - Correlation heatmap