Life expectancy project

This project aims to analyze a comprehensive dataset from the Global Health Observatory (GHO) under the World Health Organization (WHO), examining life expectancy trends across 193 countries from 2000 to 2015. The dataset includes 22 predictive variables covering factors such as immunization, mortality, economics, and social issues, enabling an in-depth exploration of the elements that influence life expectancy.

Objectives:

• Identify the key factors that significantly impact life expectancy.
• Analyze the effects of societal conditions, lifestyle choices, and mortality rates on life expectancy.

Key Features:

1. Data Exploration:
   • The dataset is categorized into four main areas: immunization, mortality, economic factors, and social issues.
   • Extensive data cleaning, including handling missing values, removing outliers, and conducting data visualizations.
2. Analysis & Modeling:
   • Simple Linear Regression Models: Examined factors like GDP, schooling, HIV/AIDS prevalence, and alcohol consumption as individual predictors of life expectancy. For example:
     • Schooling was found to positively correlate with increased life expectancy.
     • Higher alcohol consumption and HIV/AIDS prevalence were associated with lower life expectancy.
   • Multiple Linear Regression: More robust models were built to predict life expectancy using multiple variables, providing better accuracy and lower residual error compared to simple linear models.
3. Correlation Analysis:
   • The project explores relationships between life expectancy and other variables such as schooling, healthcare expenditure, and mortality factors. A correlation matrix and scatter plots provide visual insights into these relationships.

Findings:

• Education (schooling) emerged as a strong predictor of life expectancy, with countries that invest more in education seeing improved health outcomes.
• Healthcare Expenditure: While complex, there is a general trend where higher healthcare spending correlates with longer life expectancy.
• Alcohol Consumption: Countries with higher levels of alcohol consumption tend to have lower life expectancies, indicating the need for public health interventions.
• Economic Factors: Countries with a higher income composition of resources generally experience higher life expectancy rates.