INFS6023 Data Visualisation for Managers Individual Assignment
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Data Visualisation for Managers
﴾INFS6023﴿
Individual Assignment
Assessment Details
The purpose of this assignment is to enable students:
• Develop knowledge of key Data Visualisation ﴾DV﴿ concepts and understand related challenges.
• Apply principles and best practices to develop data visualisations based on real world datasets.
• Enhance research, critical thinking skills, and solution development skills.
This assignment has three parts:
• Part 1: Essays for questions: 1, 2, 3, and 4 ﴾1000 words﴿
• Part 2: Essays for questions: 1 ﴾Business Understanding﴿ and 2 ﴾Data Understanding﴿ ﴾1500 words﴿
• Part 2: Visualisation for question: 2 ﴾Data Understanding﴿ Tableau Dashboard that fits in 1 page or on one screen in standard resolution and does not contain more than 500 words
Tasks
Part 1: Read the voice commerce case ﴾sellbrite. 2021. “A Guide to Voice Commerce, the Future of Ecommerce”, posted on canvas﴿. Additionally, conduct independent research on the topic
of ‘voice commerce shopping experiences’ and find an “interactive” visualisation corresponding to any one of the expected trends which sellbrite predicts for voice commerce. Then, answer
the following questions related to the visualisation:
1. Provide the Internet link ﴾url﴿ to the visualisation. Explain which trend of voice commerce the visualisation applies to? How did you come to this conclusion?
2. Use data visualisation frameworks and decision contexts discussed in weeks 1 and 2 to analyse the visualisation. Explain the decision context, the purpose, function, and form of the visualisation.
3. What are the key takeaways from the visualisation?
4. Critically reflect on the visualisation based on visual grammars. Provide at least three examples of good practices used in the visualisation. Provide three examples of areas for improvements. Explain your rational in detail.
Part 2: Read the ShopOnline case study ﴾posted on canvas﴿. Then, answer the following:
1. Business Understanding: Conduct independent research on the topic to understand the business model of Ecommerce companies specifically in the gift items industry. Provide justifications based on your research.
1. Describe your understanding of the business model of gift item ecommerce companies globally?
2. What assumptions do you explicitly make about the underlying business model of gift item ecommerce companies?
3. What type of customers are most likely to shop at gift item ecommerce websites? How popular are gift item ecommerce websites?
4. What motivates customers to buy gift items online rather than at a physical store? 2. Data Understanding of the ecommerce dataset:
1. Use Tableau data visualisation to conduct exploratory data analysis ﴾EDA﴿. Specifically focus on the features that you believe are most relevant to the business model of a gift item ecommerce company. Conduct the following EDA analysis:
• Distribution attributes
• Measures of central tendency ﴾mean, median, mode﴿
• Variance and standard deviation
2. Use Tableau data visualisation to explore correlation among features ﴾e.g., Pearson correlation and others﴿:
• Use trend lines to assess features that change with one another
• Display correlation values in the visualization
3. Other analysis of your choice to better understand the data.
4. Develop a Tableau Dashboard to present the unique and significant insights. Include the results of at least one correlation analysis in the Dashboard.
• Note:
– No written answer needed for Question 2.1. and Question 2.2.
– Include a screenshot of the dashboard ﴾only﴿ in the document ﴾max one page﴿ .
– Include an export of a packaged workbook of your visualisation in your Canvas submission ﴾check the Tableau Resources page on Canvas on how to export a packaged workbook in Tableau Desktop﴿ .
– What were your considerations in designing the Dashboard? Provide justification of how you chose the information to present in the Dashboard.
– Provide a description of insights gained from the analysis. How does it compare to what you know about the gift item ecommerce business domain ﴾Part 2﴿?
Notes
• Do not present everything in the dashboard, display only what you believe would be most interesting to the senior management of a gift item ecommerce company.
• No written text is required in the Tableau file except for descriptive text used in the visualisation ﴾e.g., labels﴿ .
• Upload an export of a packaged workbook of your visualisation before the assignment due date.
– Check the Tableau Resources page on Canvas on how to export a packaged workbook in Tableau Desktop
– Tableau File name should be of the format: StudentID‐Stream‐Year‐Semester ﴾e.g., 1234567‐CC2‐2023‐S2.twbx﴿
– Make sure that you have tested exporting ﴾and re‐opening﴿ your workbook in advance.
• You may create as many Sheets in Tableau as you like for the analysis, but only upload one Dashboard visualisation to Canvas.
Submission Requirements
• 2500 word limit ﴾excluding visualisations﴿ .
• Submission document requirements:
– Include question numbers with the answers ﴾1.1., 1.2.,…,2.1.1,…, 2.2.1,2.2.2,…﴿
– Questions that you do not answer will receive zero marks.
– Format: Double line spacing, 2.5cm margins, and font size of no less than 12pt.
– Student Identification ﴾SID﴿ must appear in the header on the top right‐hand side of each page of the document. Do not include your name.
– Page number should be bottom right‐hand side of each page.
– File name should be of the format: SID‐Stream‐Year‐Semester
* Example: 1234567‐CC2‐2023‐S2.docx
– Assignments should be print‐friendly and should not contain a cover sheet.
– Assignment can be submitted as Microsoft Word document or as pdf.
– Word Length: Where the student exceeds the word length, the student will lose 10% of the total marks when the submission is 10% above the word length and 10% for each 10% over‐length thereafter.
• Submit an electronic copy via Canvas by the due date.
– Use the submission link provided on Canvas in the Assignments Tab ﴾located on the left‐hand menu bar﴿ .
– Should submission problems occur, please contact the unit administrator as soon as possible.
– Late assignments will be penalised in accordance with Business School Policy as set out in the UOS outline
• Submit Tableau visualisation via Canvas as a packaged workbook ﴾see ‘Notes’ section for more details﴿ .
• Avoid using foreign languages in the assignment, submission documents, and visualisations.
• References
– All references are included in the overall word count.
– Make sure appropriate referencing and referencing style is used ﴾e.g., APA﴿. See Canvas for more information.
Other Instructions
1. Make sure that you have reviewed the weekly materials in detail, including the slides,
weekly readings, discussion board postings, weekly activities, and other external resources.
2. Incorporate the theoretical and methodological foundations from the lectures to assist with your arguments.
3. Conduct independent research and use external references to support your responses. Building upon the lecture content by including new and additional references can lead to a higher mark.
4. Draw informed conclusions. Build upon your knowledge and understanding of the weekly materials, learning activities, and research. All materials presented in your answers should be synthesised, summarised, integrated, and reviewed with a critical eye.
5. Submission summary table below:
|
Deliverables |
Format |
Length |
|
A single document that includes answers to Part 1 and Part 2. |
A single document uploaded to Canvas as Microsoft word doc or pdf |
Up to 2500 words |
|
Tableau Visualisation Dashboard |
Submitted as a packaged workbook to Canvas |
Maximum size to fit in 1 page |
Assessment Criteria
Please refer to the ‘Business School Grade Descriptors’ document posted on the unit of study
Canvas site in the assignments Tab. These grade descriptors are used as a basis for constructing the marking schemes in all assessment items.
Marking Rubric
|
Criteria |
Ratings |
||||
|
Use of literature |
5 pts High distinction ﴾HD﴿ |
4 pts Distinction ﴾DI﴿ |
3 pts Credit ﴾CR﴿ |
2.5 pts Pass ﴾PS﴿ |
0 pts Fail ﴾FA﴿ |
|
Critical reasoning |
6 pts High distinction ﴾HD﴿ |
5 pts Distinction ﴾DI﴿ |
4 pts Credit ﴾CR﴿ |
3 pts Pass ﴾PS﴿ |
0 pts Fail ﴾FA﴿ |
|
Analysis and problem solving |
8 pts High distinction ﴾HD﴿ |
6.5 pts Distinction ﴾DI﴿ |
5 pts Credit ﴾CR﴿ |
4 pts Pass ﴾PS﴿ |
0 pts Fail ﴾FA﴿ |
|
Presentation ﴾visual﴿ |
8 pts High distinction ﴾HD﴿ |
6.5 pts Distinction ﴾DI﴿ |
5 pts Credit ﴾CR﴿ |
4 pts Pass ﴾PS﴿ |
0 pts Fail ﴾FA﴿ |
|
Clarity of expression |
3 pts High distinction ﴾HD﴿ |
2.5 pts Distinction ﴾DI﴿ |
2 pts Credit ﴾CR﴿ |
1.5 pts Pass ﴾PS﴿ |
0 pts Fail ﴾FA﴿ |
2023-09-09