Population Health
Life Expectancy Analysis
An exploratory analysis of socioeconomic, health, and environmental factors associated with life expectancy across countries.
View on GitHub
Data Analysis & Public Health
Project overview
This project uses country-level data to explore relationships between life expectancy and factors including GDP, education, immunization, mortality, health expenditure, clean water access, and environmental conditions.
The problem
Life expectancy reflects interconnected economic, healthcare, education, and environmental conditions, making it useful to explore which factors move together with population-health outcomes.
Approach
- 1
Clean and preprocess country-level life-expectancy data.
- 2
Perform exploratory data analysis and statistical investigation.
- 3
Visualize relationships between life expectancy and socioeconomic or health indicators.
- 4
Explore predictive modeling and interpret the observed patterns.
Outcomes and insights
The project reports positive associations between life expectancy, GDP, and education.
It highlights healthcare access and health expenditure as relevant population-health factors.
It demonstrates an end-to-end analytical workflow from cleaning through interpretation and reporting.

