Synopsis

This project is based on the real-life data from World Happiness Report, year 2015, 2016, and 2017. The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012 and made a huge impact worldwide. The most up-to-date report, World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report consistently gains global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions.

Data was found at Sustainable Development Solutions Network. Data is collected from people in over 150 countries. Each variable measured reveals a populated-weighted average score on a scale running from 0 to 10 that is tracked over time and compared against other countries. Variables in the dataset include - GDP per capita, family, healthy life expectancy, freedom to make life choices, generosity, and perceptions of corruption.

I genuinely care about this topic because I want to develop my global mindset, especially from a humanity aspect. I consider myself living in a happy life, and I am very grateful. However, I was shocked to see my home country’s rank was below average, and the expert team of the report even include a chapter discussing the dropping happiness in China. This made me realized that my country may be fast in economic growth, building infrastructure, and gaining global recognition - I am proud of all the achievements - but did we go too fast? I believe some of us need to pause and take a look back. And I am doing this EDA (Exploratory Data Analysis) to deepen and reinforce my understanding.

My proposed approach/analytic technique are include but not limited to (will update along with the learning/working process) -

To my audience, I hope this topic interests you and my analysis convey some insights you might find meaningful. This project is not just about data analysis, it aims to bring extra considerations to the table - globalization, economics, sociology, psychology, politics, ethics, religions, etc. I hope this is a good start for further exploration.