The Word Happiness Report Statistical Analysis project is a simple linear regression analysis of data from the World Happiness Report. The analysis aims to identify the relationship between happiness score and various factors such as GDP, social support, and life expectancy.
Happiness is a complex and subjective concept that has garnered significant interest in psychology and social science. The World Happiness Report provides a valuable dataset to examine the factors impacting happiness levels globally. This report aims to analyze trends in happiness scores across countries, compare mean scores between developed and developing regions, and investigate the impact of economic factors on happiness scores.
The data for this project was collected annually by the United Nations Sustainable Development Solutions Network and extracted from Kaggle's open data source. The dataset covers the period 2016-2020, and our analysis focuses on 5 CSV files with 53 columns.
Our analysis aims to answer the following questions:
- What are the trends in happiness scores across countries over time?
- Are the mean happiness scores significantly different between developed and developing regions?
- What is the impact of economic factors on happiness scores across countries over time?
By analyzing this data, we hope to gain a better understanding of the drivers of happiness and how different factors interact to create a sense of well-being. Our findings may inform policies and interventions aimed at improving happiness levels globally.