Report on Demographic Analysis of East Asia and Pacific Countries

Running head: DEMOGRAPHIC ANALYSIS OF EAST ASIA AND PACIFIC COUNTRIES
Demographic Analysis of East Asia and Pacific Countries
Name of the Student:
Name of the University:
Author’s Note:

DEMOGRAPHIC ANALYSIS OF EAST ASIA AND PACIFIC COUNTRIES
Executive Summary
The World Bank dataset on health and population data gives the different socio-economic factors of the countries
of East Asia and pacific region. The report elaborates the different aspects health infrastructure, socio-economic
condition and demographic situation of that particular country. Report helps to analyze data, decide a conclusion
and perform many statistical or mathematical calculations with various statistical packages. The report is the
mirror of demographic overview of East Asian and Pacific counties from 2001 to 2015. More of it, the report
provides the views, thoughts of report writer and Analyst. We provided the theoretical discussions on linear
regression and k-means cluster analysis for clarification of the result. More of all, necessary tables, plots and
calculations were supplied for the data interpretation and conclusions.

DEMOGRAPHIC ANALYSIS OF EAST ASIA AND PACIFIC COUNTRIES
Table of Contents
Introduction:.................................................................................................................................................................3
Data Setup:..................................................................................................................................................................3
Exploratory Data Analysis:...........................................................................................................................................3
One Variable Analysis:..............................................................................................................................................3
1. Adolescent fertility rate (births per 1,000 women ages 15-19).........................................................................3
2. Life expectancy at birth, total (years):...............................................................................................................4
3. Unemployment, total (% of total labor force):...................................................................................................5
Two Variable Analyses:.............................................................................................................................................7
1. Health expenditure, private (% of GDP) vs. Health expenditure, public (% of GDP):-........................................7
2. Crude Birth Rate (per 1000 people) and Crude Death Rate (per 1000 people):-...............................................8
Advanced Analysis:....................................................................................................................................................10
Cluster Analysis of K-means:...................................................................................................................................10
Discussion:...........................................................................................................................................................10
Result of Clustering:.............................................................................................................................................10
Linear Regression:...................................................................................................................................................11
Discussion:...........................................................................................................................................................11
Results of Linear Regression Analysis:.................................................................................................................12
Conclusion:.................................................................................................................................................................14
Reflections:................................................................................................................................................................15
R codes for box plot and clustering method:-.........................................................................................................15
Annotated Bibliography:.............................................................................................................................................16

DEMOGRAPHIC ANALYSIS OF EAST ASIA AND PACIFIC COUNTRIES
Introduction:
Health and Population study is a crucial issue with respect to a country’s behavior, epidemiological aspects,
standard of living of the people and future prediction of coming years. Different kinds of factors as Crude Birth
Rate, Fertility rate, Death Rate, Mortality rate, Death due to injury, give the clear view of that country’s heath
situation. Heath expenditures in various sectors describe the infrastructural orientation of health service of a
country. The countries that are facing eco-social problems in their day-to-day life could get help from the overview
of the data and attempt to resolve the situation. The betterment of economic condition, population oriented and
infrastructure of health service can make a country better. Demographic status is the proper indicator of
improvement of a country.
The analysis of health and population data collected from World Bank of health study organization elaborates
the health situation of several countries with respect to occupation, gender, education and health infrastructure of
East Asian and pacific countries from 2001 to 2015. In a few variables, 2015 data is missing; therefore, we only
take 2001-2014 in these attributes.
This report develops an idea about how problems in heath sector increases for high rates of some factors and
low rates of some factors in following segments. It also tells about country wise distribution of various factors. The
report provides the necessary graphs and calculations as per needed.
Data Setup:
The data is loaded in excel as preference to analyst. Analyst sorted the huge collection of data from 1960 to
2016 to a level of 2001-2015. He used the software package R and MS excel to analyze the dataset of
corresponding countries.
Analyst installed ‘MASS’, ‘Rcmdr’ and ‘cluster’ packages in R software to fit box plots and cluster analysis.
Besides, we used the Minitab and MS excel to analyze the data.
Each parameter of the datasets is dependent upon Income rate of that country. The demographic indicators
of the sorted data have come from the same region but different countries. We mainly took seven variables and
they are – Crude death rate (per 1000 people), Crude birth rate (per 1000 people), Public healthcare expenses (%
of total gdp), Private healthcare expenses (% of total gdp), Adolescent fertility rate (births per 1,000 women ages
15-19), Life expectancy at birth, total (years), Unemployment, total (% of total labor force).