Life Expectancy Trend Analysis (Python – Jupyter Notebook)

This project analyzes global life expectancy trends between 2010 and 2024 using Python, Pandas, and Seaborn.

It visualizes how life expectancy changes across different income levels (High, Upper-Middle, Lower-Middle, and Low) countries.

The line plot highlights the positive correlation between income and life expectancy, showing that higher-income countries tend to have better health outcomes.

Tools used: Python, Pandas, Seaborn, Matplotlib, Jupyter Notebook