With this Dashboard above, not only the time series for the chosen value and countries can be analyzed but also values of selected countries can be compared with the average value of their respected region and income groups. Moreover, any years within dataset can be added or removed by the user, and the mean value of each chosen year will be shown at the regional level and the income level tables as well.

As an example, the GDP per capita (current US$), and Cambodia (East Asia & Pacific-Lower Middle Income), South Korea (East Asia & Pacific-High Income), Germany (Europa & Central Asia - High Income), Congo(Sub-Saharan Africa - Low Income), Morocco(Middle-East & Nort Africa - Lower Middle Income), Peru(Latin America & Caribbean - Upper Middle Income), and the arrange of year form 2006 to 2018 is chosen. As it is shown, Germany has a higher GDP per capita than its regional and income level average, on the other hand, Congo, Cambodia, and Peru have lower than their respected regions and income groups. Moreover, GDP per capita for South Korea is lower than its income level and higher than its regional level whereas it for Morocco is higher than lower its regional level and higher than its income level. Additionally, the changes for each region and each income group are different than each other.