eddiexunyc / world_happiness_report_2020

A visual analysis of World Happiness in 2020

World Happiness Report

Member: Mike Dunlap, Max Izotov, Ksenia Dyakova, Patrick Saitta, Eddie Xu

Purpose:

• To visualize the state of global happiness based on publicly-available data.
• Review the state of happiness in individual countries and show how the new science of happiness explains personal and national variations in happiness.

Considerations/six factors:

• Life Expectancy
• Score
• social support
• Absence of corruption
• Freedom
• Generocity

Research Questions to Answer:

• Which country is the happiest/saddest?
• Which factors have the greatest/smallest impact on nations happiness
  • Is happiness in the country increasing/decreasing?
• Select two or more countries and focus in on what makes their nations
• Find the happiest/saddest country based on:
  • Employment opportunities
  • Real estate value
  • Crime rates & statistics
  • Climate
  • Educational system
  • Culture (sports, music, theaters, games, arts)
  • Public Transportation
  • Food options (fresh markets, home gardens, cost of goods?)
  • Healthcare (retirement age and accommodations, life expectancy, etc)

Data Structures for this project:

• Python Flask: to pull the data sources and store the data in a database (MongoDB) and return a json link for JS
• JS logic: to get the data and create visualizations (Radar Charts/Line Charts/Choropleth Map) based on the data
• HTML/CSS: to create a visual layout to interact and see the page contents

Data Sources:

• Kaggle (https://www.kaggle.com/unsdsn/world-happiness)
• Google Data Search (https://datasetsearch.research.google.com/)
• World Health Organization (https://www.who.int/)
• The World Bank (https://data.worldbank.org/)
• The World Happiness Report (https://worldhappiness.report/ed/2020/)
• JavaScript Library: DataMaps (http://datamaps.github.io/)