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World Happiness Visualization

Exploring the relationship between the happiness (Happiness Score) of countries against their health (Life Expectancy) and wealth (GDP per capita).

Using a survey of 158 out of 195 countries in 2015, we focus on whether health and wealth affect the happiness of citizens in a country, and if so, explore the direction and strength of their correlation. We identify trends and outliers without delving into the social/political/economical causes for them.

Overview:

  1. Scatterplot:
    • Visualize the relationship between happiness and wealth.
    • Explore seaborn, matplotlib, plotly.express libraries.
    • Add dimensions to data using color and size of circle.
  2. GeoSpatial Graphs:
    • Analyze the geographical relationships using folium choropleth maps
    • Examine map styles: cartodb positron, Stamen Watercolor, Stamen Toner, Stamen Terrain
  3. Waffle Charts:
    • Answer the question "How happy is the world?" using Waffle from pywaffle library
  4. Experiments:
    • Investigate different division of data and its corresponding visualization
    • Explore features of the Waffle library, such as icons

World_Happiness_Visualization