Perform data analysis on countries in East Asia region

Reference no: EM132011876

Introduction to Data Science Assessment Task

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

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.

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.

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.

Assignment Guidelines - 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.

Attachment:- Assignment Files.rar

Reference no: EM132011876

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Reviews

len2011876

6/8/2018 1:20:36 AM

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. Assignment submission extensions will only be made using the official Faculty of Arts, Business and Law Guidelines.

len2011876

6/8/2018 1:20:29 AM

Requests for an extension to an assignment MUST be made to the course coordinator prior to the date of submission and requests made on the day of submission or after the submission date will only be considered in exceptional circumstances. An outstanding attempt – well formatted and professionally presented piece of work.

len2011876

6/8/2018 1:20:22 AM

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”) and 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.

len2011876

6/8/2018 1:20:14 AM

Referencing - 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.

len2011876

6/8/2018 1:20:07 AM

Submission - The completed assignment is to be submitted to Blackboard Task 2 by the due date of 11:59pm Friday, Week 12. 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.

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