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World Happiness Scores by Population

✓ Published0🌍 Public
Mmkt-ds
Last edited Oct 26, 2019
Created on Oct 22, 2019

This visualization displays world happiness scores and population sizes on a natural Earth projection map, with each country represented by a circle whose area encodes population and color encodes happiness score. Users can pan, zoom, and hover to see country names and scores, while clicking reveals additional details. The visualization uses d3.geoPath, d3.geoNaturalEarth1, d3.zoom, and d3.scaleSqrt for population scaling, with happiness data from the World Happiness Report. A color legend and size legend clarify the mapping, and the rendering is SVG-based.

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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