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Assignment 1  Week 1 of Coursera Course titled “Data Management and Visualization”

I expect that there is an association between gender equality in employment and health indicators, while macroeconomic indicators are the output of such equality. I am questioning if equality in employment attributes to a more healthy and worthy, cross-nationally. It is my current hypothesis that the more the gender equality, the better the performance in most of the health indicators and macroeconomic indicators.

I am going to study the relationship between various variables from the dataset “gapminder.csv”, which is provided through the course website.

At this stage, the raw data expected to be used for analysis from the data source can be consolidated is as follows:

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

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

alcconsumption: 2008 alcohol consumption per adult (age 15+), litres Recorded and estimated average alcohol consumption, adult (15+) per capita consumption in litres pure alcohol

breastcancerper100TH: 2002 breast cancer new cases per 100,000 female Number of new cases of breast cancer in 100,000 female residents during the certain year.

HIVrate: 2009 estimated HIV Prevalence % - (Ages 15-49) Estimated number of people living with HIV per 100 population of age group 15-49

suicideper100TH: 2005 Suicide, age-adjusted, per 100 000 Mortality due to self-inflicted injury, per 100 000 standard population, age-adjusted

lifeexpectancy: 2011 life expectancy at birth (years) The average number of years a newborn child would live if current mortality patterns were to stay the same.

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

oilperperson: 2010 oil Consumption per capita (tonnes per year and person)

relectricperperson: 2008 residential electricity consumption, per person (kWh) The amount of residential electricity consumption per person during the given year, counted in kilowatt-hours (kWh).

urbanrate: 2008 urban population (% of total) World Bank Urban population refers to people living in urban areas as defined by national statistical offices (calculated using population estimates and urban ratios from the United Nations World Urbanization Prospects)

From a  literature review, I noted a few studies which covered similar questions, They are:

Shi, L., Starfield, B., Kennedy, B., & Kawachi, I. (1999). Income inequality, primary care, and health indicators. (Original Research). Journal of Family Practice, 48(4), 275–285.    

Bambra, C., & Eikemo, T. (2008). Welfare state regimes, unemployment and health: A comparative study of the relationship between unemployment and self-reported health in 23 European countries. Journal of Epidemiology & Community Health, jech.2008.077354. https://doi.org/10.1136/jech.2008.077354  

Women, Work, and the Economy : Macroeconomic Gains from Gender Equity. (n.d.). Retrieved October 10, 2017, from https://www.imf.org/en/Publications/Staff-Discussion-Notes/Issues/2016/12/31/Women-Work-and-the-Economy-Macroeconomic-Gains-from-Gender-Equity-40915 

To further elaborate my hypothesis, I suspect gender equality in employment opportunity will lead to better performance in some health indicators because of the opportuntiy itself, and on the other-hand, indirectly as a subsequence of improvement in macro-economic performance, such as GDP.