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QBUS6860 – Individual Assignment
创建日期：2024-06-22 15:17:34
标签： QBUS6860
Individual Assignment

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QBUS6860 – Individual Assignment


Rationale

This assignment has been designed to help students develop basic skills in data visualization and to allow students to practice techniques learned in lecture and tutorial.

Key Admin Information

1.Requiredsubmissions:

a.ONE writtenreport  (word  or  pdf format,  through  Canvas-  Assignment  1 Report Submission).

b.SEVERAL Python “.py” or Jupyter Notebook “ ipynb” files  (through Canvas- Assignment 1 – Upload Your Program Code Files).

2.Thelate penalty for the assignment is 5% of the assigned mark per calendar day, starting after 4pm on the due date. The closing date Monday 11 April 2022, 4:00 pm is the last date on which an assessment will be accepted for marking.

3.Length: Themain text of your  report  (including  everything  except  for  possible appendices) should have a maximum of 10 pages in normal 12 point fonts and single line. For each Task, you should write a sufficient and complete report with necessary plots based on your visualization, methodology, analysis, insight and limitations, etc, when possible.

4.Numberswith decimals should be reported to the Fourth–decimal point in the report.

5.Ifyou wish to include additional material, you can do so by creating an appendix. There is no page limit for the appendix. Keep in mind that making good use of your audience’s time is an essential business skill. Every sentence, table or figure has to count. Extraneous and/or wrong material will potentially affect your mark.

6.Anonymousmarking:  Given  the  anonymous  marking  policy  of the  University, please only include your student ID (SID) in the submitted report, and do NOT include your name. The file name of your report should follow the following format. Replace “XXXX” with your SID in, for example, QBUS6860_2021S1_SIDXXXXX.pdf

7.Presentationof the assignment is part of the assessment. Markers will assign up to 10% marks for clarity of writing and presentation.

8.ForTurnitin to check your code, please copy and paste your codes into Appendix. Code  should  be  formatted  by  equal  width  fonts  such  as  Courier New or Consola.

If your programs are in py file, simply copy and paste into the report Appendix.  If you are using Jupyter Notebook, please follow InstructionPY to convert it to “ py”

 

Key Rules

  • Carefully read the requirements for each part of the assignment.
  • Please follow any further instructions announced on Canvas.
  • You must use Python for the assignment.
  • Reproducibility is fundamental in data analysis, so that you make sure you suggest the right Python py file or Jupyter Notebook ipynb files that generate the results in your report. Markers will run your program for checking.
  • The University of Sydney takes plagiarism very SERIOUSLY. Please be warned that
  • plagiarism between individuals/groups is always obvious to the markers and can be
  • easily detected by Turnitin.
  • Not submitting your code will lead to a loss of 50% of the assignment marks.
  • Failure  to read  information  and  follow  instructions may  lead to  a  loss  of marks. Furthermore, note that it is your responsibility to be informed of the University of Sydney and Business School rules and guidelines, and follow them.
  • Referencing:  Business  School  recommends  APA  Referencing  System.  
  • Feedback will be provided on the marked submission.


This task is designed for you to practice your skills in conducting basic Visual Data Analytics (VDA) and Exploratory Data Analysis (EDA).

Background

The COVID- 19 pandemic in Australia is part of the ongoing worldwide pandemic of the coronavirus  disease  2019  (COVID- 19)  caused  by  severe  acute  respiratory  syndrome coronavirus 2 (SARS-CoV-2). The first confirmed case in Australia was identified on 25 January 2020,  in Victoria (fromhttps://en.wikipedia.org/wiki/COVID– 19_pandemic_in_Australia). Since then the Australian Federal Government has collected data for the COVID- 19 pandemic in Australia. The data is useful in making decision on public policies by all type agencies.

Resources

A copy of the dataset has been on Canvas for your convenience, but you are encouraged to download the most recently updated data from the above GitHub site directly.  The data files are all in csv format. It is easy to identify the meaning of each column in each file.

Tasks

You are receiving 2 visualisation types at random (e.g., your randomly selected types could be  violin  and  scatterplot  or  histogram  and  bubble plot,  etc.).  Please check the list file QBUS6860_Assignment01_RandomTask.xlsx for your assigned visualization type by using your Student ID. This is file on Canvas along with this document.

  1. [8Marks] Playwith all the dataset files, report and explain all the statistics, such as the total positive COVID- 19 cases so far etc.
  2. [12Marks] Useyour two randomly assigned visualisation types to analyse the data (you may use other types in addition to the types you are assigned, but you must use your assigned types). For example, you were assigned histogram and bubble plot but you think that the data could be better represented using a stream graph. You may use stream graph in addition to histogram and bubble plot, but you must use at least histogram and bubble plot in your analysis. If an assigned type is not appropriate for this set of data, please explain the reason.

Always  keep  in  mind  the  visual  presentation  should  be  meaningful  and  visually pleasing.

  1. [10Marks] Conductappropriate analysis and report your insights. You shall consider this task as challenging.
  2. [5Marks]  Summarise your  conclusion  on  for  example  whether  data  is  in  good quality, what else information can be collected, so to put forwards your suggestion.


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