PREPARE A DATA ANALYSIS REPORT ABOUT YOUR WORK AND EXPLAIN YOUR FINDINGS

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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:

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.

Data Setup

Describe how to load the data, and the libraries needed. Provide an overview of the data

about its dimensions and structures.

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.

Advanced Analysis

4.1 Clustering

Briefly explain the concept of clustering and k-means.

Try to do a clustering analysis to group countries according to some selected attributes.

4.2 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.

Conclusion

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:

# Draw a boxplot on the attribute “Income”

boxplot(MyData$income)

The following guidelines will be used in marking each section of the assignment:

100%

90%

75%

65%

50%

25%

Outstanding:

High

Distinction:

Credit:

Pass:

Fail:

Not

Submitted:

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.

Competently

meets the

criteria as specified with few minor mistakes or omissions.

Satisfactorily

meets the

criteria.

Did not

sufficiently

meet the criteria to pass.

No attempt

made or

different from what is acceptable

The assignment will be assessed according to the marking sheet which is shown in the last page. Late submission will be penalised according to the policy in the course outline. Please note Saturday and Sunday are included in the count of days late.

Assignment Return and Release of Grades

Assignment grades will be available on the course website in two weeks after the submission. An electronic assignment marking sheet will be available at this time.

Where an assignment is undergoing investigation for alleged plagiarism or collusion the grade for the assignment and the assignment will be withheld until the investigation has concluded.

Appendix A

Marking Sheet for ICT110 2017.S1 Assignment 2

Student name: Student ID:

Items		Maximum Marks	Marks Obtained
Report formatting (font, header and footer, table of content, numbering, referencing)		5
Professional communication (correct spelling, grammar, formal business language used)		5
Report introduction		8
Data setup		5
Exploratory Data Analysis	3.1 1st one-variable	5
	3.2 2nd one-variable	5
	3.3 3rd one-variable	5
	3.4 1st two-variable	8
	3.5 2nd two-variable	8
Advanced Analysis	4.1 Clustering	10
	4.2.1 1st Linear	10
	4.2.2 2nd Linear	10
Conclusion		8
Reflection		8
Total =		100	0.0

OVERALL COMMENTS:

PREPARE A DATA ANALYSIS REPORT ABOUT YOUR WORK AN