Sujay Kamal Madisetty(S3794983)
GDP(Gross Domestic Product) is the monetary value of all finished goods and services made within a country during a specific period.
GDP provides an economic snapshot of a country, used to estimate the size of an economy and growth rate.
In our case,we are looking into GDP of 2019 of various countries.
Most of the low income countries despite of their conditions like landscape,population and various factors they have acheieved positive GDP rate in 2019.
Some countries like Rwanda,Ethiopia have even achieved more than 7% GDP rate which some high income countries even did not achieve.
ggplot(Countries_LI, aes(x=reorder(Countries_LI$`Country Name`, Countries_LI$`2019`),y=Countries_LI$`2019`, fill=GDP_GROWTH_LI)) +
geom_col(position = "identity") +
labs(title= "GDP of Low Income Countries in 2019") +
xlab("Country") +
ylab("GDP(in %)-2019 ") +
coord_flip()Most of the high income countries have a positive GDP rate with the highest 5% by Ireland.Despite of being high income countries their GDP rates can not be increased rapidly due to the previous high GDP values.
Some countries like china and Quatar has negitive GDP rate due to the various recent conditions emerged.
ggplot(Countries_HI, aes(x=reorder(Countries_HI$`Country Name`, Countries_HI$`2019`),y=Countries_HI$`2019`, fill=GDP_GROWTH_HI)) +
geom_col(position = "identity") +
labs(title= "GDP of High Income Countries in 2019") +
xlab("Country") +
ylab("GDP(in %)-2019 ") +
coord_flip()Upper middle income countries are emerging as a good GDP producers and becoming a competition for the high income countries.
Countries like Tuvalu,Amania etc have achieved morethan 9 % GDP rate making them more compitent to the high income countries.
ggplot(Countries_UMI, aes(x=reorder(Countries_UMI$`Country Name`, Countries_UMI$`2019`),y=Countries_UMI$`2019`, fill=GDP_GROWTH_UMI)) +
geom_col(position = "identity") +
labs(title= "GDP of Upper Middle Income Countries in 2019") +
xlab("Country") +
ylab("GDP(in %)-2019 ") +
coord_flip()ggplot(Countries_LMI, aes(x=reorder(Countries_LMI$`Country Name`, Countries_LMI$`2019`),y=Countries_LMI$`2019`, fill=GDP_GROWTH_LMI)) +
geom_col(position = "identity") +
labs(title= "GDP of Low Middle Income Countries in 2019") +
xlab("Country") +
ylab("GDP(in %)-2019 ") +
coord_flip()World Bank Data – https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG
References – https://www.investopedia.com/terms/g/gdp.asp