World Happiness

Project 1 for the University of Minnesota Data Vizualization and Analytics Boot Camp

Authors:

• Joey Eikins (j-eikens)
• Nathan Johnson (ntjohn3551)
• Amanda Nyren (anyren)
• John Torgerson (JohnTorgerson)

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Can happiness of people be predicted by measurable statistics from where they live? To answer this question, we found data from 2021 on the GDP per capita, how free they feel to make life choices, social support available, and life expectancy.

Data was taken from the World Happiness Report - https://worldhappiness.report/ed/2022/

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Guide to Repo Contents:

• DataForTable2.1.csv is the original dataset downloaded from the World Happiness Report website linked above and saved as a csv
• data_cleaning_exploration.ipynb is the Jupyter Notebook we used to clean and perform initial data exploration
• cleaned_happiness_2021.csv is the output of the cleaning process that removes countries with null values in columns relevant to our study, limits data to 2021, and adds latitude and longitude
• Final_Analysis.ipynb contains our final analysis of the dataset
• maps directory contains screenshots of the maps used in our analysis