With the Dashboard, the tables above show scatter plots for chosen one country, below for another country. Whereas tables at the link indicate for row values, the right ones demonstrate for calculated values. In order to make a deeper analysis, there are two calculation options. Since some values like growth rate vary a lot over the years, moving average, which is calculating a four-year average, may be used. Furthermore, some variables, like human capital, are cumulative. Percentage differences can be therefore a valid option to avoid misanalysis. Besides, it may be sometimes needed that some variables should be used as they are, so that there is also an option without applying any calculation.
As an example, the GDP per capita growth and the human capital are chosen to analyze their relationships for Turkey and South Korea. Regarding the row values analysis, the relationship between variables for Korea is negative and significant, by contrast, it is positive but not significant for Turkey. However, after calculating a moving average for GDP per capita growth and percentage differences for human capital, the direction of the relationship changed, and it became positive and significant for Korea, and negative and insignificant for Turkey.