Data Viz Forum Discussion Questions
FINS3616 – International Business Finance
UNSW Sydney, T3,2024
This assessment is worth 8% of your final grade. Students can attempt this task from
Monday 30 September 2024 at 0:00 (Sydney Time, Australia) until Sunday 27 October
2024 at 23:59 (Sydney Time, Australia).
You would like to compare the inflation rates from 2001Q1 to 2024Q2 between the US and
Turkey and identify all significant differences over the period. Use FACTSET to download the
relevant data. Instructions on how to locate and download the data will be provided during the
iLab sessions in Week 3 and Week 4 of the term.
First Moodle Post:
Visualize the data in a chart of your choice to help you with this analysis. A simple way is by
selecting the data in your worksheet and clicking the Recommended Charts button under the
Insert tab in Excel. Does the recommended chart fit best with your data and the purpose of
the analysis? Do you think your own chart is better than the recommended one? Why or why
not? Discuss.
You are required to create two visualisations:
1) the Excel “recommended graph”, and
2) an improved, more thoughtful version of the same visualisation which enhances key insights
you wish to communicate.
You must also explain what you did to improve it and why, referring to any external materials
you used to help you with this (maximum 200 words - informal references are acceptable).
Second and Third Moodle Posts:
Provide TWO comments (one comment per post) to your classmates’ posts. Each comment
you make must be for provided on a different student’s work. See below for information on
how to structure your comments.
The Data Viz forum closes at the end of Week 7. No new posts will be allowed.
Required self-study (up to 1 hour expected time to complete):
Before engaging in this activity, students are required to read through a short learning module
“Data Visualisation in Finance – A Light Touch” (available on Moodle by the end of Week
1) and complete the required sections of the LinkedIn course on data visualisation using
Excel.
Guidelines on how to make useful feedback comments to peers:
• Provide one piece of positive feedback about your peer’s data visualisation –
what did they communicate very effectively in their visualisation?
• Provide one piece of constructive feedback about your peer’s data
visualisation – what was one thing that could be communicated more effectively
or with more impact, and how could this be done?
• The best feedback comments will back up your arguments with some
references, resources or links, e.g., to a specific part of the learning module
provided above.
• Keep the comments professional, helpful and concise.
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