World Happiness Scores by Population

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World Happiness Scores by Population

✓ Published0🌍 Public

Last edited Oct 15, 2019

Created on Oct 15, 2019

Forked from World Happiness Scores by Population

This visualization maps world happiness scores by population, with each country represented by a circle whose area is proportional to its population and whose color encodes its happiness score. Hovering reveals the country name and score, while clicking and pan/zoom allows closer inspection. Built with D3 v5, it uses d3.geoNaturalEarth1 and d3.geoPath for map rendering, d3.scaleSqrt for circle sizing, d3.scaleSequential with interpolateInferno for color, and d3.zoom for interaction. Data comes from the World Happiness Report, processed from CSV and TopoJSON sources.

AI-generated description

Visualizing world happiness scores by population using colored circles representing different countries on a map.

The area of each circle corresponds to the population of the country it represents. Once clicked it shows the happiness score.

You can also pan & zoom, and hover over each country for more information.

The data is from the The World Happiness Report that uses survey data, demographic information and statistical analysis to rank 156 nations according to the happiness of their people.

https://www.kaggle.com/arielyeung/world-happiness-data

https://gist.github.com/mkt-ds/640984c80835e2823c1b0f5c9a3fabe6

A country’s overall happiness score is a composite of different factors collected in an annual worldwide survey, including:

GDP per capita School years Sustainable economic development Employement Rate Health expenditure Government effectiveness Female MPS Control of corruption

What factors contributes to happiness for different countries is interesting. For example more school years increases happiness in certain countries, it's probably correlated with more salaries when a person studies more. I need to create another visual to show the relationship between each factors for each country.

MIT Licensed

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