Project Overview
This project delves into the happiness scores of various countries, examining how different socio-economic factors such as GDP, health, freedom, and social support influence overall happiness. The analysis was conducted using R and involved linear and logistic regression models to uncover the intricate relationships between these variables
The project highlights the power of data science in understanding complex social phenomena, offering valuable insights into what contributes to happiness across diverse nations.
Key Concepts & Methods
Statistical Analysis
Hypothesis Testing
Linear Regression
Logistic Regression
Data Visualization
R Programming
corrplot
caret
ggplot2