Global Happiness and Development
Global Happiness and Development
This visualization represents the relationship between global happiness and the world development indicators. The data set deals with the tailored data from the global happiness level (The World Happiness Report) and the four world development indicators (The World Bank) in the 147 countries: consumption expenditure, rural population, alcohol consumption and education expenditure. It provides some insights related to the following questions about the topic.
1) Is there a link between the happiness level and their geographic location?
2) Are there remarkable relationships between the happiness level and the world development indicators (considering the region)?
Ⅰ. Data Set
|Regions||Regions are categorized: Australia and New Zealand, North America, Western Europe, Latin America and Caribbean, Eastern Asia, Southeastern Asia, Central and Eastern Europe, Middle East and Northern Africa, Southern Asia, Sub Saharan Africa|
|Country Codes||Three alphabetic codes represent countries. (ISO alpha-3 code)|
|Happiness Level||The levels are based on the respondents' answers to rate their own current lives on the scale from 0 (worst) to 10 (best).|
(% of GDP)
|The sum of household final consumption expenditure and general government final consumption expenditure. This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.|
(% of total population)
|People living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.|
|Alcohol Consumption (liters)||Total alcohol consumption per capita is based on projections for the amount of alcohol consumption (liters of pure alcohol) per person ages 15+ per year.|
(% of GNI)
|The current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment.|
1. Happiness Level by Countries
When viewers hover the mouse on the dark color (or bright color) in the map, the accurate value having the high (or low) level of happiness can be represented in the tooltip. As a whole, there is a pattern of happiness level by regions as adjacent countries have similar color luminance. In the legend, users can identify that the darker the color is, the higher the level of happiness is. To be specific, Canada, New Zealand, Australia, Iceland, Norway and Finland have the high happiness level (over 7.0) whereas the low happiness level belongs to Yemen, Central Africa Republic, Liberia, United Republic of Tanzania (around 3.5).
2. Happiness Level by Regions
Once users hover the mouse on the bar in the radial bar chart, the precise level of happiness can be displayed in the tooltip. In respect of happiness level by regions, Australia and New Zealand have the highest level of happiness (7.3) and Western Europe, North America, Latin America, and Caribbean are followed (over 6.0) while the happiness level of Sub Saharan Africa and Southern Asia are the lowest (near 4.3).
3. Happiness Level & Consumption Expenditure
If viewers brush over points in the scatterplot, they can see the precise values in the adjacent table. In general, two variables have a negative relationship, which means the higher people spend consumption expenditure, the lower the level of happiness is. Each color represents the category of regions, which is the same color with one used in the radial bar chart, so viewers can catch different patterns depending on the region. The top-level countries for happiness (over 7.5), which belong to Western Europe (sky-blue), consumes 65% to 80% of their GDP while Sub Sahara Africa (yellow-green) has the lowest happiness level even though the percentage of consumption expenditure is similar with the one of the top-level countries. In terms of Ireland and Luxembourg, they have the high happiness level (7.0) though the percentage of expenditure is just 45%.
4. Happiness Level & Rural Population
The adjacent table shows the exact values when points in the scatterplot are brushed over. Overall, there is a negative correlation between two variables - in other words, the higher the percentage of rural population is, the lower the level of happiness is. As for Sub Saharan Africa (yellow-green), the percentage of rural population is higher, and the happiness level is lower than other regions. On the other hand, North America (brown), Australia and New Zealand (blue), and Western Europe (sky-blue) has low rural population percentage and high level of happiness. In terms of Latin America and Caribbean (red), it is difficult to say a negative relationship as in many countries the happiness level tends to be stable when the ratio of rural population increases.
5. Happiness Level & Alcohol Consumption
When points in the scatterplot are brushed over, the exact values are represented in the near table. Broadly, two variables represent no correlation, but in some regions, there are some pattern. Sub Saharan (yellow-green) tends to have the stable level of happiness even though the consumption increases whereas in Western Europe (sky-blue) and North America (brown) if the consumption of alcohol rises, the happiness level also increases. Middle East and Northern Africa (purple), especially, show the drastic increase of happiness level when the consumption of alcohol rises.
6. Happiness Level & Education Expenditure
Once users brush over points in the scatterplot, the adjacent table displays the precise values. Generally, the scatterplot represents that two variables have a strong positive correlation. We can infer that the higher the education expenditure is, the higher the happiness level is. Western Europe (sky-blue), especially, the expenditure of education and the happiness level are higher than other regions. However, Sub Saharan Africa (yellow-green) tends to have a pattern that the level of happiness is low when the spending of education is high.