This dataset provides aggregated life expectancy data averaged over multiple years for various countries, along with associated socio-economic and health-related factors. It aims to facilitate analysis of global health trends, the relationship between life expectancy and development indicators, and regional disparities.
Key Features
- Country & Region: Includes data from a diverse range of countries across continents, categorized by their respective regions.
- Life Expectancy: The average life expectancy in years for each country.
- Socio-economic Indicators:
- GDP per capita
- Schooling (average years of education)
- Alcohol consumption
- Economy status (developed or developing)
- Health Indicators:
- Infant mortality
- Adult mortality
- HIV prevalence
- Immunization rates (e.g., Hepatitis B, Polio)
- Incidence of diseases like measles and diphtheria
- BMI (Body Mass Index) data
- Thinness prevalence among children and adolescents
Purpose of the Dataset
This dataset can be used for:
- Exploratory Data Analysis (EDA): Understand trends in life expectancy across different regions and economic statuses.
- Data Visualization: Create meaningful plots (e.g., choropleth maps, scatter plots, pair plots) to analyze relationships between variables.
- Machine Learning: Develop predictive models for life expectancy based on socio-economic and health factors.
- Policy Research: Support policy-making by identifying key factors influencing life expectancy.
Inspiration
- What are the primary factors affecting life expectancy in different countries?
- How does life expectancy vary by region or economic development?
- Can we predict life expectancy using other health and economic indicators?
License
This dataset is shared under the CC BY 4.0 License. Proper attribution is required for reuse.