World Happiness Data Analysis

I analyzed global happiness data to explore the factors associated with people's life evaluation and compare happiness levels across countries and years.

Using Python, Pandas, and data visualization techniques, I cleaned and analyzed the dataset and performed Exploratory Data Analysis (EDA).

The analysis focused on:

* Happiness ranking across countries

* Life evaluation trends

* GDP per capita and its relationship with happiness

* Social support and healthy life expectancy

* Freedom to make life choices

* Generosity and perceptions of corruption

* Comparing GDP-based rankings with actual happiness rankings

* Identifying differences between economic performance and happiness

I created calculated metrics and visualizations to make the results easier to understand and highlight meaningful patterns in the data.

This project demonstrates my ability to analyze complex datasets, compare multiple factors, and turn data into clear and meaningful insights.