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QBUS6860 – Individual Assignment 1
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. Required submissions:
a. ONE written report (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. The late 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: The main 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. Numbers with decimals should be reported to the Fourth-decimal point in the report.
5. If you 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. Anonymous marking: 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 or QBUS6860_2021S1_SIDXXXXX.doc.
7. Presentation of the assignment is part of the assessment. Markers will assign up to 10% marks for clarity of writing and presentation.
8. For Turnitin 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” files first then copy the created py files into Appendix of the report.
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. (You may find the details at: https://libguides.library.usyd.edu.au/citation/apa7 )
• Feedback will be provided on the marked submission.
Task A (40 Marks)
This task is designed for you to practice your skills in conducting basic Visual Data Analytics (VDA) and Exploratory Data Analysis (EDA).