All figures below are part of a paper - "Understanding Factors that Contribute to Country's GDP per Capita Status". To access the full paper, please go here:
Please go to the following boxes below for various static Seaborn graphs. All the graphs are created from the same dataset. For the dataset and codes, please click on the button right below.
Low income countries have relatively high agriculture percentage of GDP compares to those in middle and high income groups. The median differences between the three are even more noticeable. The difference between low and middle income groups is around 19%. Between middle and high income groups, the difference is around 7%.
High income group has the highest median life expectancy while the low income group has the lowest life median life expectancy. One thing to note is the range of life expectancy for each group. For the high income group, the range is smaller than that for the other two groups. The middle income group has even bigger range than the low income group.
Figure 5 shows that agricultural percentage of GDP is the main driver in classifying each country’s GDP per capita status. Other important variables from the model are percentage of agriculture as part of the total annual employment, total life expectancy, and rural population percentage. Other variables such as international tourist level, year, and mobile subscription are not quite important according to this particular tree model.
For low income group, mobile subscription across all three international tourist arrival types seem to be the same. For middle income group (middle plot), higher tourist status seems to correspond with higher mobile subscription. For high income group (right plot), there is no low tourist status. In fact, the majority of cases in high income group are in the high tourist group. High income group seems to have higher mobile subscription than the other two groups as expected.
