ANALYSIS TO DETERMINE THE RELATIONSHIP BETWEEN INCOME AND LIFE EXPECTANCY USING R PROGRAMMING

PROJECT:

Analysis to show correlation between Income and Expectancy by region and Income group  to gain insight through viz using R Programming.

DATA SOURCE:

World Bank. Visit my github through this link to view and download codes, data and instruction file.

CASE STUDY:  All continent of the world for Year 2013.

THE R CODE FOR ANALYSIS:

VISUALIZATION OF THE ABOVE CODES:

CHART 1:

Insights from Chart 1:   

(a) The life expectancy for low income earners is relatively lower than that of high income earners. Although correlation does not equal causation. However, there's a clear trend from the visualization that suggests that the higher the income, the higher the life expectancy. 

(b) Even though the life expectancy of Lower-middle-income earners is higher compared to low income earners. However, most of the populace are still within same life expectancy bracket with low income earners.

CHART 2:

Insights from Chart 2: This Visualization gives a deeper view into Chart 1 

(a) The African populace as at 2013 ranks the most in the low income earners.

(b) The trend is clearly visible to see low income earners have low life expectancy. 

(c) Not forgetting that correlation does not equal causation. A few percentage of the African populace spread across other income groups(e.g: High income, Upper-middle-income, and lower-middle income), of which a look into the chart shows that there wasn't much improvement in their life expectancy especially fir Africans when compared to the life expectancy of low income earners in same region. This further shows that although income earned could play a role in life's expectancy, but there could be more other factors to why some regions could have lower life expectancy.

Recommendations:

With life expectancy being the focus, I recommend that while making efforts to improve earnings for those in relatively lower income groups, other factors such as good health care centers, health literacy and awareness campaign just to mention a few, should be encouraged across all regions with lower life expectancy. As this would be of help in boosting life's expectancy.