辅导 FIT3152 Data analytics – 2025: Assignment 1辅导 R语言

FIT3152 Data analytics – 2025: Assignment 1

Instructions

Address each of the research questions below and report the results of your analysis and your interpretation of those results.

You are expected to include at least one high quality multivariate graphic summarising key results. You may also include other simpler graphs and tables. Report any assumptions you’ve made in your analysis. Include your R code as an appendix. Your R code must be machine readable text as the university requires all student submissions to be processed by plagiarism detection software. You must include a declaration on the use of Generative AI at the beginning of your written report (hurdle requirement) and if you used Generative AI, describe how it was used, as an appendix.

There are two options for compiling your written report:

(1) You can create your report using any word processor with your R code pasted in as machine- readable text as an appendix, and save as a pdf, or

(2) As an R Markdown document that contains the R code with results and discussion interleaved. Render this as a HTML file and save as a pdf.

Your video report should be less than 100MB in size. You may need to reduce the resolution of your original recording to achieve this. Use a standard file format such as .mp4, or mov for submission.

Software

It is expected that you will use R for your data analysis and graphics and tables. You are free to use any R packages you need but must document these in your report and include in your R code. You may use other software, such as Excel, to create the table of clustering data for Question 3(a).

Use of Generative AI

AI & Generative AI tools may be used in GUIDED ways within this assessment / task as per the guidelines provided.

In this assessment, you can use generative artificial intelligence (AI) in order to search for R functions and examples to perform. tasks that you specify only. Any use of generative AI must be appropriately acknowledged (see Learn HQ).

If you do use Generative AI for your assignment, then you must include the statement "Generative AI was used in this assignment." in the introductory/first paragraph of your report. You must also include the following information as an appendix in your report: (1) the technology you used (e.g. ChatGPT), (2 the information that was generated (e.g. R code fragments), (3) the prompts used (i.e. the questions you asked), and (4) how the output was used in your work.

If you did not use generative AI in your assignment, then include the statement "Generative AI was not used in this assignment." in the introductory/first paragraph of your report.

Questions

The World Values Survey (WVS) is an international research program that studies the social, political, economic, religious and cultural values of people in the world. You can read more here:

https://www.worldvaluessurvey.org/WVSContents.jsp

The aim of this assignment is to understand country-level differences in the predictors of confidence in social organisations reported by participants.

These social organisations cover aspects of society such as: religion, armed forces, the press, television, trade unions, police, the courts, government, political parties, parliament, public service, universities, elections, major companies, banks, and environmental organisations. They are indicated in your data by column names having the prefix "C". Predictor variables (attributes) include personal information such as age and gender, values such as trust in others, the importance of various things in life, feelings of security and attitudes towards the state and science.

Each student will be assigned a subset of organisations and predictor variables to study. Your task   is to analyse the survey data overall, with a focus on the country you have been assigned. You may make use of any additional data you require to answer the following questions.

1.          Descriptive analysis. (4 Marks)

(a) Describe the data overall, including things such as dimension, data types, distribution of numerical attributes, variety of non-numerical (text) attributes, missing values, and anything else of interest or relevance.

2.          Focus country vs all other countries as a group. (14 Marks)

(a) Identify your focus country from the accompanying list (WVSFocusCountry.pdf). How do participant responses (attributes) for your focus country differ from the other countries in the survey(treating them as a group)?

(b) How well do participant responses (attributes) predict confidence in social organisations in your focus country? Which attributes are the strongest predictors? Confidence in which social organisations can be more reliably predicted? Explain your reasoning.

(c) Repeat Question 2(b) for the other countries as a group. How do these results compare to those of your focus country?

3.          Focus country vs cluster of similar countries. (12 Marks)

(a) Using a collection of social, economic, health, political or other indicators from external sources, identify at least 5 countries in in your survey data that are similar to your focus country using clustering. The references in this document list some data sources that may be relevant although you are encouraged to search more broadly. State the indicators used and describe how you calculated/identified similar countries. Copy and paste the table of values you used for your clustering into your report as an Appendix.

(b) Repeat Question 2(b) for your cluster of countries. Comment on the similarity and/or difference between your results for this question and Question 2(c). That is, does the group of all other countries 2(c), or the cluster of similar countries 3(b) give a better match to the  important attributes for predicting confidence in social organisations in your focus country? Explain why this might be the case.

4.         Video Presentation: (Submission Hurdle and 4 Marks)

Record a short presentation using your smartphone, Zoom, or similar method. Your presentation should be approximately 5 minutes in length and summarise your main findings for Sections 1 – 3, as well as describing how you conducted your research and any assumptions made. Pay particular emphasis to your results in Questions 2(c) and 3(b)

5           Overall considerations (6 Marks)

This includes: the quality and clarity of your reasoning and assumptions; the strength of support for your findings; the quality of your writing in general and communication of results; the quality of your graphics throughout, including at least one high-quality multivariate graphic; the quality of your R coding.

Data

The data for this assignment is a reduced version of the World Values Survey Wave 7 data. The filename is "WVSExtract.csv". The data includes ordinal data coded on a numerical scale. For this assignment assume it is reasonable to treat these responses as numerical.

Create your individual data as follows:

rm(list = ls())

set.seed(12345678) # Your Student Number

VCData = read.csv("WVSExtract.csv")

VC = VCData[sample(1:nrow(VCData),50000, replace=FALSE),]

VC = VC[,c(1:6, sort(sample(7:46,17, replace = FALSE)), 47:53,

sort(sample(54:69,10, replace = FALSE)))]

Locate your focus country using the accompanying document FocusCountryByID.pdf. The document WVSCountryCodes.pdf identifies each country by name from its code.