The world happieness report is hapiness score which is subjective well-being avergage score reported by residents of each country. Its is measure on a scale from 1 to 10.High score is often seen in countries with high gdp per capita, strong social support, healthy lifestyle, low corruption level. Lowest score is seen in counteries with poor education system, limited healthcare facilities,lack of freedom and high corruption rate. The project goal is to analyze and model factors that influence happieness score globally using “World Happiness Report” dataset. In the initial stage,project will focus on detailed exploratory data analysis to identify patterns in happieness indicators across countries and regions,based on factors like social support, healthy life expectation, freedom to make life, generosity, perception of corruption, positive effect, negative effect, confidence in nation. Predict which indicators of happiness will have a positive impact on society, that will ultimately increase happiness score.
Outcome: Build different models with all independent variables that influence happiness score and then checking all significant or important variables to build another model.