Relationship between happiness, region, and socio-economic measures in 2017

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Visualization

Visualization may be buggy for a few seconds in the start. Please, move the selection in one of the histograms for about 3-5 seconds until it is completely loaded. For more information about the issue, please see the end of the page.

Analysis

Overview: The first World Happiness Report was released on April 1, 2012drawing international attention. The report primarily uses data from theGallup World Poll. Each annual report is available to the public to download on the World Happiness Report website. In this visualization, we use the data for 2017, where the range of happiness scores fell between 2.9 to 7.53. The countries with the maximum and minimum happinessscores were Norway (Europe) with 7.53, and Burundi (Africa) with 2.9.

Understanding how GDP and Happiness Scores correlate: The relationship between GDP and the Happiness Score is directly proportional, with the happiness increasing as GDP increases. Some of the countries with the lowest happiness scores (2.9 to 3.9), happened to be clustered in the poorer countries in Western and Southern Africa, with Yemen, Syria, Afghanistan and Haiti being exceptions (with a mean GDP of $1905.89 per capita).The two most populous countries in the world, China and India, along with a large number of countries in Western Europe, and Asia, fall under the medium happiness category of 4.0 to 5.3 had GDPs with an average of $3653.8 per capita. Some of the happiest countries (6.6 to 7.6), especially around Eastern Europe, and North America, were ones that had the highest GDPs (with a mean of $25453.85 per capita).

Understanding the possible relationship between literacy and Happiness Scores: Though there is no distinct relationship pattern between literacy and the Happiness Scores for scores below 6.8. Scores higher than 6.8 show a direct relationship to literacy. In short, countries that fall under the high range of happiness scores (between 6.8 and 7.6) are exclusively in the highest literacy levels (95%-100%) with a mean of 98% for all those 15 countries.

Mapping out a possible relationship between phones and Happiness Scores: The rumors are true: everybody is looking for happiness in their phones and they are finding it. The countries that had the lowest happiness scores (2.8 to 3.6) had very low phones (approximately 26) per 1000 people, while the countries with the highest happiness scores (6.8 to 7.6) had the most number of phones (approximately 549) per 1000.

Known issue

On GitHub

The visualization freezes before it can be used. We have to drag the selection multiple times before the visualization works

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On Observable

The histograms disappear when the selection is dragged multiple times, and the map is duplicated to the right.

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