someonesays09

[someonesays09]

Data Management & Visualization- Week 2

Dataset: Gapminder

Variables

Country Name

incomeperperson-2010 Gross Domestic Product per capita in constant 2000 US$. The inflation but not the differences in the cost of living between countries has been taken into account

armedforcesrate- Armed forces personnel (% of total labor force)

femaleemployrate- 2007 total employees age 15+ (% of population) Percentage of total population, age above 15, that has been employed during the given year.

Hypothesis

Is armed force rate positively correlated with incomeperperson?

Is femaleemployrate positively correlated with armed force rate?

Code For Week 2

Missing Values

All the three variables have missing entries. I have used above shown code(second cell in the code) to identify them and took a subset of data by removing rows with Blank entries for further analysis.

Frequency Distribution for selected variables

As all the three variables in my dataset are continuous variables hence I have opted for bins in understanding the frequency distribution. (last three cells in the code shown above are for frequency distribution).

Below is the frequency distribution for all three variables:

Summary

Since all the selected variables are continuous hence frequency distribution was of not much use, unlike categorical variable. Although concentration of values in some specific bins were identified . It also helped me identify missing values in the process to get me filtered analyzable data.

[someonesays09]

Relationship Between GDP per Capita & Strength of Armed Forces (vs total labor)

All the five datasets provided as part of the course- Data Management & Visualization provide interesting opportunity to study about various relationship and possibilities. After a thorough understanding of dataset and I am more inclined towards Gapminder data set to study about armed force strength. I would like to understand how this gets impacted with economic growth of the country. Hence I would like to add these variables to my codebook-ArmedForcesRate and incomeperperson

Variables Description

ArmedForcesRate-Armed forces personnel (% of total labor force)

incomeperperson-2010 Gross Domestic Product per capita in constant 2000 US$. The inflation but not the differences in the cost of living between countries has been taken into account.

On further reviewing the codebook -Gapminder I think I would love to explore the relationship between femaleemployrate and armed force rate. This could help me understand that does more armed force(vs total labor) means that country's economy and society is opening up and providing more opportunities for females or not.

femaleemployrate -2007 female employees age 15+ (% of population) Percentage of female population, age above 15, that has been employed during the given year.

Literature Review

Lot of researches have been done to explore the relationship between GDP growth or GDP Per capita (income per person) and military expenditure or budget allocation (a good dummy for armed forces strength).

Most of the studies find bidirectional conclude that Military Expenditure/Budget allocation and GDP per Capita or GDP or economic growth of the country.

Reference-

https://www.journals.uchicago.edu/doi/pdf/10.1086/451015

https://link.springer.com/article/10.1007/s11135-019-00910-9

Hypotheses to Be Tested

Is armed force rate positively correlated with incomeperperson?

Is femaleemployrate positively correlated with armed force rate?