📊 Case Study: Relationship Between Happiness, Weather, and Generosity in Europe

📌 Project Overview

This project is a data analysis case study completed as part of a Data Analytics Bootcamp.

The analysis explores how weather conditions and socio-economic factors relate to happiness levels across 50 European countries.

We combine:

• The World Happiness Report dataset (from Kaggle)
• Historical weather data collected via the Meteostat API

All data is analyzed for the year 2015.

📂 Data Description

The combined dataset includes the following key variables:

• Happiness Score
• Generosity
• GDP per capita
• Social support (family & friends)
• Average daily temperature
• Monthly sunshine hours
• Monthly rainfall

Weather data is aggregated at the country level, and all datasets are cleaned and merged before analysis.

🎯 Project Objectives

The main objectives of this analysis are to understand:

1. Whether sunlight exposure is positively associated with overall happiness
2. How the happiness score relates to:
   • Social factors (family & friends)
   • Economic factors (GDP)
   • Weather variables
   • Generosity
3. Whether there is a measurable relationship between GDP and generosity

🛠️ Tools & Techniques

• Data cleaning and preprocessing
• API data collection
• Exploratory Data Analysis (EDA)
• Correlation analysis
• Data visualization

📌 Scope & Limitations

• The study focuses only on European countries
• Weather data is limited to historical averages
• Correlation does not imply causation