World Happiness Report 2015: Exploratory Data Analysis

This project presents an Exploratory Data Analysis (EDA) of the World Happiness Report 2015, using data published by the Gallup World Poll. The dataset captures global happiness indicators from over 150 countries and provides insights into the socio-economic and cultural factors that influence happiness. With the goals of: Understand global distribution of happiness scores, explore the relationship between GDP and happiness, identify top contributing factors to a country’s happiness, analyze regional patterns and trends, and address missing data, duplicates, and outliers Tools used: Python Pandas, NumPy Seaborn, Matplotlib This project is ideal for those who want to learn data cleaning, visual exploration, and statistical insights using a real-world dataset related to global well-being.