🌍 World Happiness Report - Exploratory Data Analysis (EDA) This repository contains a comprehensive Exploratory Data Analysis (EDA) of the World Happiness Report 2024 dataset. The dataset provides insights into the happiness levels of various countries around the globe, based on key factors such as GDP per capita, social support, healthy life expectancy, freedom to make life choices, generosity, and perceptions of corruption.

📂 Dataset Source The dataset was obtained from the official World Happiness Report website. It includes country-level data and happiness scores used to rank nations by happiness levels.

🔍 Key EDA Objectives Understand the structure and distribution of the dataset

Visualize happiness scores and contributing factors across countries

Analyze correlations between variables (e.g., GDP and happiness score)

Identify regional trends and top/bottom-ranking countries

Generate interactive and static plots using libraries like pandas, matplotlib, seaborn, and plotly

📊 Tools & Technologies Python 3

Jupyter Notebook

pandas, numpy

matplotlib, seaborn, plotly

Datascinecetoolbox

Install / Use

README