The Pursuit of Happiness: Between Fiction and Reality 🌍✨

This project explores the socio-economic drivers of global happiness by integrating data from the World Happiness Report (2015-2019) with the Human Freedom Index (2022).

The goal is to determine which factors, ranging from economic wealth to individual freedoms, have the strongest impact on perceived well-being.

Developed as a final project for the Data Manipulation and Visualization module during the course in Data Science at Start2Impact University in 2024.

🎯 Project Objectives

• Data Integration: Merging multi-year datasets with inconsistent structures into a unified analytical framework.
• Exploratory Data Analysis (EDA): Investigating distributions, identifying outliers, and analyzing skewness and kurtosis.
• Network Analysis: Visualizing the complex interconnections between happiness scores and freedom indices using graph theory.
• Statistical Modeling: Implementing Ordinary Least Squares (OLS) regression to quantify the predictive power of different variables.

🛠️ Tech Stack

• Language: Python
• Data Libraries: Pandas, Numpy
• Visualization: Seaborn, Matplotlib, Plotly (Interactive charts)
• Advanced Analytics: NetworkX (Network Graphs), Statsmodels, Scikit-learn (Statistical modeling & Regression)

📁 Repository Structure

├── dataset/              # Original CSV files (2015-2019 + HFI 2022)
├── images/                 # Exported visualizations for documentation
├── happiness_analysis.ipynb   # Main Jupyter Notebook
├── requirements.txt        # Project dependencies
└── README.md