Perform data analysis on countries in the region

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Reference no: EM131479924 , Length: word count:1500

Introduction to Data Science

Task

Background

A research team planned to study the heath development of the world in the past 15 years. The team retrieved the dataset from World Bank (https://databank.worldbank.org) about Health and Population Statistics between 2001 and 2015.

The dataset contains the following attributes:
- Birth rate, crude (per 1,000 people)
- Fertility rate, total (births per woman)
- Adolescent fertility rate (births per 1,000 women ages 15-19)
- Death rate, crude (per 1,000 people)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
- Cause of death, by injury (% of total)
- Cause of death, by non-communicable diseases (% of total)
- Mortality caused by road traffic injury (per 100,000 people)
- Health expenditure per capita (current US$)
- GNI per capita, Atlas method (current US$)
- Health expenditure, private (% of GDP)
- Health expenditure, public (% of GDP)
- Health expenditure, total (% of GDP)
- Maternal mortality ratio (national estimate, per 100,000 live births)
- Immunization, BCG (% of one-year-old children)
- Life expectancy at birth, male (years)
- Life expectancy at birth, female (years)
- Life expectancy at birth, total (years)
- School enrollment, primary (% gross)
- School enrollment, secondary (% gross)
- School enrollment, tertiary (% gross)
- School enrollment, tertiary, female (% gross)
- Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
- Unemployment, female (% of female labor force) (modeled ILO estimate)
- Unemployment, male (% of male labor force) (modeled ILO estimate)
- Unemployment, total (% of total labor force) (modeled ILO estimate)

More details about the data attributes and data content can be found in the attached documents.

Assignment Task

You are a member of the team, and need to perform data analysis on countries in the region of East Asia & Pacific.

The team has not set any specific goal for the analysis. Therefore, you have the freedom to explore the data, and dig out anything you feel interesting or significant.

You have been requested to prepare a data analysis report about your work and explain your findings. The potential audiences include other researchers, business representatives, and government agencies. They may have limited ICT or mathematical knowledge.

To prepare the report, please follow the following outline:

1. Introduction
Provide an introduction to the problem. Include background material as appropriate: who cares about this problem, what impact it has, where does the data come from.

2. Data Setup
Describe how to load the data, and the libraries needed. Provide an overview of the data about its dimensions and structures.

3. Exploratory Data Analysis
Perform 3 one-variable analysis. Plot at least one graph for each variable. Explain why the selected graph is appropriate.

Perform 2 two-variable analysis. Plot at least one graph for each variable. Explain why the selected graph is appropriate

The analysis can be performed on all years and all countries, or on a subset of your interest.

4. Advanced Analysis
Clustering
Briefly explain the concept of clustering and k-means.
Try to do a clustering analysis to group countries according to some selected attributes.

Linear Regression
Briefly explain the concept of linear regression.
Try to do 2 linear regression analysis. Plot the learned models.

The analysis can be performed on all years and all countries, or on a subset of your interest.

5. Conclusion

6. Reflections
In this part, discuss any difficulties you had performing the analysis and how you solved those difficulties. Reflect on how the analysis process went for you, what you learnt, and what you might do differently next time.

For the data analysis, you need to provide both R code, and the explanation to the code and the result. For the section 2 - 4, please represent each R code snippet in a box with some comments. For example:

Report Format

Your report should be no less than 1,200 words and it would be best to be no longer than 2,000 words long. All comments and graph titles are counted.

The report MUST be formatted using the following guidelines:
- Paragraph text - 12 point Calibri single line spacing
- Headings - Arial in an appropriate type size
- Margins - 2.5cm on all margins
- Header - Report title
- Footer - page number (including the word "Page")
- Page numbering - roman numerals (i, ii, iii, iv) up to and including the Table of Contents, restart numbering using conventional numerals (1, 2, 3, 4) from the first page after the Table of Contents.
- Title Page - Must not contain headers or footers. Include your name as the report's author but DO NOT include any reference to your student ID, course code or course name.
- The report is to be created as a single Microsoft Word document. No other format is acceptable and doing so will result in the deduction of marks.

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Reference no: EM131479924

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Reviews

inf1479924

5/19/2017 4:53:43 AM

Thanks for this paper as well, it good. You all are paradise sent, I will prescribe you my cousin needs to do her theory next fall, so I educated her don't stress concerning it, and guaranteed her she will have a flawlessly composed case proposal.

inf1479924

5/19/2017 4:52:27 AM

These are the two data sources for the project 23124186_1Health and Population Statistics Data.csv 23124154_2Health and Population Statistics Definition and Source.csv Regarding the experts previous question the data in "Health and Population Statistics_Data.csv" is the file with the data set. I attached to my post on the I have attached this file again to this post I have also atatched the addional file "Health and Population Statistics_Definition and Source.csv" which provides additional information to the data set 23124110_1Health and Population Statistics Data.csv 23124110_2Health and Population Statistics Definition and Source.csv Just confirming project is still under development?

len1479924

5/1/2017 3:54:14 AM

This assignment will take a number of weeks to complete and will require a good understanding of data science and management for successful completion. It is imperative that students take heed of the following points in relation to doing this assignment: 1. Ensure that you clearly understand the requirements for the assignment – what has to be done and what are the deliverables. 2. If you do not understand any of the assignment requirements – Please ASK the course coordinator or your tutor. 3. Each time you work on any aspect of the assignment reread the assignment requirements to ensure that what is required is clearly understood.

len1479924

5/1/2017 3:54:06 AM

Outstanding: High Distinction: Distinction: An outstanding attempt – well formatted and professionally presented piece of work. An excellent piece of work that meets all the specified criteria with very minor omissions or mistakes More than competently meets the criteria specified with only minor mistakes or omissions. 2 references for the explanation of Clustering and 2 for linear regression are required. These references should follow the Harvard method of referencing. Note that ALL references should be from journal articles, conference papers, technical papers or a recognized expert in the field. DO NOT use Wikipedia as a reference. The use of unqualified references will result in the deduction of marks.

len1479924

5/1/2017 3:53:49 AM

Project must be completed with The R Project for Statistical Computing Submit your assignment to Blackboard Task 2. Please follow the submission instructions on Blackboard. The assignment will be marked out of a total of 100 marks and forms 30% of the total assessment for the course. ALL assignments will be checked for plagiarism by SafeAssign system provided by Blackboard automatically. Refer to your Course Outline or the Course Web Site for a copy of the “Student Misconduct, Plagiarism and Collusion” guidelines. Assignment submission extensions will only be made using the official Faculty of Arts, Business and Law Guidelines.

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