Firstly, the univariate graph of urban rate frequency shows that there are more countries have less or equal to 60% urban rate.
Secondly, the univariate graph of life expectancy rate frequency is unimodal, with its highest peak at the category “from 70 included to 80 years old”.
Concerning to the income type, the graph is unimodal. It seems to be skewed to the left as there are higher frequencies in the lowest range.
Through the “association between income type and urban rate” scatter plot and histogram graphs, we found that the income for the countries which have low urban rate (less then 60%) are mostly in the first income category ( less then 6 000 dollars per person per year). However, for the countries which have relative higher urban rate ( more then 60%) have a wider spread (standard deviation) in terms of income among the countries then the low rate urban rate group. What’s more, all the high income countries are in second urban rate group (more then 60%).
Concerning the relationship between income type and life expectancy, it shows that from the scatter plot graph, there is a trend positive between the two variables. There is a clear relation ship specially for the countries those life expectancy have more then 70 years old. The more income they have, the longer life expectancy they have.












