GitHub - mirugwe1/Kaggle-s--World-Happiness-Report-Analysis: The datasets that I have chosen are happiness 2015-2019 datasets, of Kaggle’s dataset. These datasets give the happiness rank and happiness score of 155 countries around the world based on seven factors including family, life expectancy, economy, generosity, trust in government, freedom, and dystopia residual. Sum of the value of these seven factors gives us the happiness score and the higher the happiness score, the lower the happiness rank. So, it is evident that the higher value of each of these seven factors means the level of happiness is higher. We can define the meaning of these factors as the extent to which these factors lead to happiness. Dystopia is the opposite of utopia and has the lowest happiness level. Dystopia will be considered as a reference for other countries to show how far they are from being the poorest country regarding happiness level.

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The datasets that I have chosen are happiness 2015-2019 datasets, of Kaggle’s dataset. These datasets give the happiness rank and happiness score of 155 countries around the world based on seven factors including family, life expectancy, economy, generosity, trust in government, freedom, and dystopia residual. Sum of the value of these seven fac…

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This report entails analytical insights in the Kaggle's happiness datasets of years 2015 to 2019. Kaggle's datasets gives the happiness scores of 155 countries from different regions of the world based on several factors like life healthy expectancy, family, GDP per capita,trust in government (Perceptions of corruption) generosity, freedom, and dystopia residual. This anaylsis was done using R programming languages and insights are found in the attached Rmarkdown file.