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FIT3152 Data analytics
创建日期：2024-05-21 17:20:51
标签： FIT3152
Data analytics

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FIT3152 Data analytics  Assignment 

Your task
• Analyse the country level predictors of pro-social behaviours to reduce the
spread of COVID-19 during the early stages of the pandemic.
• This is an individual assignment.
Value • This assignment is worth 25% of your total marks for the unit.
• It has 40 marks in total.
Suggested
Length
• 8 – 10 A4 pages (for your report) + extra pages as appendix (for your R script
and clustering table).
• Font size 11 or 12pt, single spacing
Due Date 11.55pm Monday 17th April 2023
Submission • Submit a single PDF file and single video file on Moodle.
• Use the naming convention: FirstnameSecondnameID.{pdf, mp4, mov etc.}
• Turnitin will be used for similarity checking of all written submissions.
Generative
AI Use
• In this assessment, you must not use generative artificial intelligence (AI) to
generate any materials or content in relation to the assessment task.
Late
Penalties
• 10% (4 mark) deduction per calendar day for up to one week.
• Submissions more than 7 calendar days after the due date will receive a
mark of zero (0) and no assessment feedback will be provided.

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
modelling and 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.

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 Markup document that contains the R code with the discussion/text interleaved. Render
this as an 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).
2
Questions
During the early stages of the COVID-19 pandemic, researchers surveyed participants around the
globe. A baseline study was conducted with the aim of identifying the most important predictors of
pro-social COVID-19 behaviours, that is, actions that would reduce the spread of the virus. You can
read a more detailed description of the research and results in Van Lissa (2022), see references.

The aim of this assignment is to understand country-level differences in predictors of pro-social
behaviours, reported by participants as: “I am willing to:
• help others who suffer from coronavirus.” (c19ProSo01)
• make donations to help others that suffer from coronavirus.” (c19ProSo02)
• protect vulnerable groups from coronavirus even at my own expense.” (c19ProSo03)
• make personal sacrifices to prevent the spread of coronavirus.” (c19ProSo04)

Your task is to analyse the baseline 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 and pre-processing. (6 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.

(b) Comment on any pre-processing or data manipulation required for the following analysis.

2. Focus country vs all other countries as a group. (12 Marks)

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

(b) How well do participant responses (attributes) predict pro-social attitudes
(c19ProSo01,2,3 and 4) for your focus country? Which attributes seem to be the
best predictors? Explain your reasoning.

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

3. Focus country vs cluster of similar countries. (10 Marks)

(a) Using several social, economic, health, political or other indicators, identify between 3
and 7 countries (in the baseline data) that are similar to your focus country using clustering.
Van Lissa (2022) refers to several indicators you might consider, among others. Some of
these are listed in the references, but these are not exhaustive. 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) How well do participant responses predict pro-social attitudes (c19ProSo01,2,3
and 4) for this cluster of similar countries? Which attributes are the strongest predictors?
How do these attributes compare to those of your focus country? Comment on the similarity
and/or difference between your results for this question and Question 2(c). That is, does the
3
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 pro-social attitudes in your focus country? Discuss.

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

Record a short presentation using your smart phone, 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 (8 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 that collected for the PsyCorona baseline
study, Van Lissa et al. (2022). The filename is “PsyCoronaBaselineExtract.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) # XXXXXXXX = your student ID
cvbase = read.csv("PsyCoronaBaselineExtract.csv")
cvbase <- cvbase[sample(nrow(cvbase), 40000), ] # 40000 rows

Data fields and brief descriptor (note AD = Agree/Disagree). See
BaselineCodebookExtract for full description.)

Concept Variable Name Label
Affect affAnx How did you feel over the last week? - Anxious
affCalm ...Calm
affContent ...Content
affBor ...Bored
affEnerg ...Energetic
affDepr ...Depressed
affExc ...Excited
affNerv ...Nervous
affExh ...Exhausted
affInsp ...Inspired
affRel ...Relaxed
Likelihood PLRAC19 How likely is it that... in the next few months? - You
will get infected with coronavirus.
PLRAEco … Your personal situation will get worse due to
economic consequences of coronavirus.
Societal Discontent disc01 AD - I fear that things will go wrong in society.
disc02 AD - I feel concerned when I think about the future of
society.
disc03 AD - I am satisfied with society.
Job Insecurity jbInsec01 AD - Chances are, I will soon lose my job.
jbInsec02 AD - I am sure I can keep my job.
jbInsec03 AD - I feel insecure about the future of my job.
jbInsec04 AD - I already lost my job.
Employment Status employstatus_1 Which best describes your employment status during
the last week (multiple may apply)?-Employed,
working 1-24 hours per week
employstatus_2 … Employed, working 24-39 hours per week
employstatus_3 … Employed, working 40 or more hours per week
employstatus_4 … Not employed, looking for work
employstatus_5 … Not employed, not looking for work
employstatus_6 … Homemaker
employstatus_7 … Retired
employstatus_8 … Disabled, not able to work
employstatus_9 … Student
employstatus_10 … Volunteering
Perceived Financial
Strain
PFS01 AD - I am financially strained.
PFS02 AD - I often think about my current financial situation.
PFS03 AD - Due to my financial situation, I have difficulties
paying for my expenses.
Disempowerment fail01 AD - Not a lot is done for people like me in this
country.
fail02 AD - If I compare people like me against other people
in this country, my group is worse off.
5
fail03 AD - Recent events in society have increased my
struggles in daily life.
Life Satisfaction happy In general, how happy would you say you are?
lifeSat In general, how satisfied are you with your life?
MLQ AD - "My life has a clear sense of purpose."
Corona Community
Injunctive norms
c19NormShould AD - "Right now, people in my area..."-...should self-
isolate and engage in social distancing.
c19NormDo AD - "Right now, people in my area..."-...do self-
isolate and engage in social distancing.
c19IsStrict To what extent is your community….-...developing
strict rules in response to the Coronavirus?
c19IsPunish ...punishing people who deviate from the rules that
have been put in place in response to the
Coronavirus?
c19IsOrg ...well organized in responding to the Coronavirus?
Trust in
Government
trustGovCtry In general, how much do you trust the government of
your country to take the right measures to deal with
the coronavirus pandemic?
trustGovState In general, how much do you trust your community to
take the right measures to deal with the coronavirus
pandemic?
Gender gender What is your gender?
Age age What is your age?
Education edu What is your highest level of education?
Country Self
Report
coded_country In which country do you currently live in?
Corona ProSocial
Behavior
c19ProSo01 AD - "I am willing to..."-...help others who suffer from
coronavirus.
c19ProSo02 AD - "I am willing to..."-...make donations to help
others that suffer from coronavirus.
c19ProSo03 AD - "I am willing to..."-...protect vulnerable groups
from coronavirus even at my own expense.
c19ProSo04 AD - "I am willing to..."-...make personal sacrifices to
prevent the spread of coronavirus.
案例分类
标签云
关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 EARN 5 FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 MGMTMFE 405 25579 1ECE 273 M122 COMP4434 1ELEC ELEC5620M STAT0010 BFF2401 MXB361 MATH3811 CS330 CMT307 FIT1033 CptS 583 UP 431 MATH6005 AF5343 CS2435 ECOM30002 ES50061 CS 2506 ECMT6002 CODE 00099F MT4539 ESSAY ICM317 MATH1231 MFIT5010 BMA547 MATH334 CIVL2201 MATH39032 T-04 CIVE97119 EMESTER CAB302 CAB301 59PM STAT802 ISYS3412 RM3 COSC 2123 AcF 311 MATH2022 1FINAL 4CCS1PHC ICM 142 ENVS3023 Math 4023 I1 ACSE8 FIN B385F CS-275 STA 4109-01 A31021 EE140 MT1 EE124 ECO-6004B Inf2-IADS CS126 IS2184 UL18 MATH5092 ECOM009 COMP 6211 ELEC202 MKT3019 IAB230 FIT5046 584-S21 COMP3210 CO250 A29401 MATH 136 MGT6174 ECMT6007 DATA2001 MAT 443 MATH10222 PHDE0071 ELE00123M COSC1295 MAT00045H MATH32032 1004GRC MAS223 COMP10001 DATA3404 CIVL2110 STAT2008 FNCE10002 EEE6431 COM6515 COMP9120 NBS8185 ECTE942 ECON 405 MATH314301 STAT 2011 COMPSCI 350 COMP20007 CMPSC-132 ECON5002 STA 35 MTH6108 FIT5147 MTH6150 100C FINA 5260 DESC9115 ECON4998 NBS8257 GMM ECON 6070 BSA2 ECE599 STATS 102B STA120 INFS601 BFC3241 MATH20602 COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 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PHIL2617 PHYS3116 MIE250 BCPM0008 ECN 620 QBUS6830 ECSE-415 ECON5102 MGMT20005 MAT 653 ECO 480 COMP 5/600 CSSE 5600 ME 571 7CCMMS61 CS 550 COMP2865 MATH3075 STATS 506 QTM 220 ISYS2120 FIT5106 STAT 153 MKTG3112 ECON2102 ELE2018 COMP3031 MSIN0010 SCC461 MATH237 CS246 CSC3065 CSE 101 ICTWEB411 COMP9313 ECOS 2025 FN620 MATH11111 MATH 3018 KE1068 FINA 6112 C++ MISM 6202 MSIN0105 CSC8631 MECO6935 COMP4121 ACCT2011 DPBS1150 EEL 3701C F19PL OPM 661 CSE 310 CS918 BIOL30001 ACCT3563 BANK3600 MET CS622 MATH367 ACCT5907 Continuing COMP5048 COMP61021 CS3334 GSOE9210 CSCI-570 COMP 5322 HW 2 ALY-6020 IEOR 4706 DATA 200 EBUS504 CGE12412 COMP4108 7SSMM800 ECMM171P MATE50002 CS225 RS 6003 BH2274 ELEC3111 MAT6669 ECON-UA 227 PHIL 1012 7SSMM603 TB028A P6 ECS708 CSC 427 CS6476 CSE 250A A1A2 ITS61504 EECS 376 model HW6 UV0010 ECON 6074 MG4F7 CMP-7030Y INFO3008 BFIP013 ECON 5068 MATH6002 CS3483 PSTAT 131 C31FM CSOR W4246 AAEC 5307 DATA ELEC362 COMSM0047 ECN6006 MA20224 BST351 MATH 323 MATH323 AA2021 COMP3811 COMP2013 IB9X60 INVP001 EMATM0051 COMP220 BLAW1002 E20 TCP8001 ECON61001 EART40005 ECONM1022 MATH 365 MATH 367 ELEC6218 COMP 5812M EDUC 5061M ELEC ENG 1101 equation MATH6174 ST334 C4 EC9570 A33648 EBUS603 ECON47815 stata WFMS0001 PEM102 INF6060 ionically ELECTRICAL MATH 375 MMW 12 MKTG860 ECON60401 ALY6010 SOST20131 Introduction COM3524 MME2 GGR305 JNB 538 EECS101 COMM5030 IEOR E4601 2B CSC336 EN2315 LAW 432 CSC263 MATH2001 OLET1143 CSCB63 SIT772 COMM1170 STAT 441 MS930 INFT3050 GLBH0030 Stat 120B MAST10007 MGEC61 Machine GGR 252H1S ECON7030 Financial Marketing MGMT30019 ECON5120 SDSC 8009 CSC165H1S DSCI 551 3081W ACM41000 ECA 5304 MATH 1064 ECSE444 DATA 604 COMP7105 MIE1615 ECON4004 ENV200H1S EC481 MKT 306 EC1B1 MATH08051 ALY6140 CS260C CSE30 MSIN0226 CS4103 CSC3064 AM16 COMP11212 CSE4101 PSTAT 174 Math 380W CNT 5106C STAT 310 FIN2028 CS5014 STAT 425 COMP 4102A ELEC2140 MANF9544 QRM 9 QRM 8 ECON 457 COMPSCI 4091 MATH 523 DNSC-4211 PEAS 6000 MSIN0180 COMP2119 A2A HT 2022 IB93F0 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ACCOUNTING BUSS1040 CHEM 181 MAT136H1 GY 6183 COMP3170 AGRI90089 PHYSICS 1002 ECON10003 IEOR E4004 ACS61012 MATH 40550 MKTG2113 TELE4653 ENSC1004 ECE 232E MK726 MTRX2700 SHEET 3 CSCA08 COMP30027 Math 2XX3 statistic MMAN3200 BISM7213 ECMM109 ECON 2022 FNCE 20005 GR5067 CSCB09 ME 3017 CS 5100 PHYS 2903 COMS 4771 COMP222 COMP 1046 CSC148H1 ISYS2038 FINS2615 OT5206 COMP2048 A6 MECH5770M MA826/20 CMPT 726 STA457 INFS6071 INFS588 integral ECON 216 IRDR 0017 MA323 PA 15213 PSYC2001 ENV222 Statistics ACCT5930 ACCT12 LAND2121 ME 5405 COMM1180 TELE3113 A7 ECE 568 ACCT2019 INFS1200 ENGG1340 CS 1400 ASST3 FINM7409 SWEN30006 INFO2222 FIN20150 SOSS1000 CSSE7231 FINS5513 COMS3200 CECN 702 ECON4060H MN3515 HW2 PSYA02H3 ECON 2112 COMP90051 CS 1652 MA30059 AF1605 MKTG7501 ECO-6003B COM4521 CTM ECON3350 COMP 3804 ELEC9762 BISM 7255 ST22 MATH20014 MNE3122 COMP343 MATH5165 ELE7029 ENGR30002 SEEM3500 ECON7350 RISK5002 FINM7405 COMP90059 MOS 3320B STAT 431 BISM7221 MATH3014 MTH783P EBA 35302 ACS133 BUS2206 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