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HAPPINESS- A DISTORTED REALITY


Ankita Bhatia,Jhanvi Sanghvi,Khushi Raj Shah

Strategic Design & Management

Class of 2023

About the Topic: WHY "HAPPINESS - A DISTORTED REALITY?" Happiness is one of the key factors in our lives. The fundamental reason why happiness is so important is that it's extremely vital to our own goals in life and can help us achieve many other cherished personal ambitions and goals. Also, by being happy, we have the potential to change many other lives just by being ourselves. Rather than success being the key to happiness, happiness could in fact be the key to success, especially in todays world where it is so overlooked and measured by success, with people constantly being so busy. Happiness, for almost all of us, is distributed throughout so many different factors, be it materialistic or non-materialistic; and that is what makes it so distorted as well; hence, the title, "Happiness - A Distorted Reality".

The Data Set: SELECTING THE RIGHT DATA SET As a group, we had a collective decision process when it came to selecting the right set of data. We came accross several different sets of data with regards to our chosen topic, on various different websites. We ended up selecting this particular data set because the data quality seemed extremely to the point; and second, the data collected was put together in a way that it would help us arrive at exactly what we intended to derive post creating our infographics, i.e, to see how the GDP of the country, and all other relative factors get affected by the Happiness Ratio. Secondly, to compare the ratios of first world and third world countries, based on the average of several factors such as present living conditions, social support, health life expectancy etc.

The Data Set: PARSING THE DATA (DATA SET SOURCE- KAGGLE) The data present in our original data set (2015-2019) for each country is as follows: Happiness Rank, Happiness Score, GDP, Health, Freedom, Trust (Govt. Corruption), Generosity The original data set also consisted of data for about 150 countries, which was too much for us to analyse to arrive at a conclusion. Therefore, to parse the data, we took the top 10, middle 10 and last 10 countries for each year and also omitted out a part of the data that we felt was irrelevant for our analysis. Our final data set consisted of: Happiness Rank, Happiness Score, GDP, Health and Trust (Govt. Corruption).

Time - focused on a particular particular time period of five years (2015-2019) to get a larger perspective. This helped us compare data for all the chosen years, country wise, and in turn gather insights. Category - Happiness Rank, GDP, Govt. Trust Hierarchy - Selected the first 10, middle 10 and last 10 countries from the main data set which was extremely spread out. Selecting these 30 countries helped us gather better insights, as our data set then became extremely focused towards a particular set of countries for each year.