HI6038 Data Visualisation T2 2024 Assessment
Final Individual Assessment
Unit Details
- Name: Data Visualisation
- Code: HI6038
- Year, Trimester: Trimester 2, 2024
Assessment Details
- Name: Final Individual Assessment
- Due Date & Time:
- 10 October 2024
- 10:59 pm – Gold Coast students
- 11:59 pm – Sydney students
Student Details
- Student Number:
- First Name:
- Family Name:
Submission Declaration
- Integrity Declaration:
I have read and understand academic integrity policies and practices, and my assessment does not violate these. - Full Name:
- Submission Date:
ALL SUBMISSIONS MUST INCLUDE YOUR STUDENT DETAILS AND SUBMISSION DECLARATION. IF THESE DETAILS ARE NOT COMPLETED, YOU RISK BEING PENALISED.
Instructions
All responses must be entered in the answer boxes at the end of each question.
Question 1 (10 marks)
Explain the key principles of effective data visualisation. In your answer:
- Discuss how clarity, simplicity, and context contribute to the effectiveness of visualisations.
- Provide an example where a poorly designed visualisation can lead to misinterpretation.
- Explain how the principles of effective visualisation can be applied to improve it.
ANSWER (box will enlarge as you enter your response)
Question 2 (10 marks)
You have a dataset representing the distribution of exam scores for a class of 100 students.
a) Describe at least three different chart types that can be used to visualise the distribution of this data. (5 marks)
ANSWER
b) Explain when each of these chart types would be most appropriate, considering the audience and the insights you wish to convey. (5 marks)
ANSWER
Question 3 (10 marks)
Compare two data visualisation tools. Select one tool that is widely used in business and another commonly used in data science. For each tool, explain:
a) The strengths and limitations in terms of flexibility, usability, and features. (6 marks)
ANSWER
b) A practical scenario where each tool would be the most appropriate choice. (4 marks)
ANSWER
Question 4 (10 marks)
Several techniques can be used to visualise changes over time.
a) Choose two types of charts that are commonly used to show changes over time and explain how they reveal patterns in the data. (6 marks)
ANSWER
b) Provide an example dataset (real or hypothetical) and describe how you would use one of these charts to reveal key insights about trends or changes over a specified period. (4 marks)
ANSWER
Question 5 (10 marks)
Understanding relationships between variables is crucial for data analysis.
a) Explain the role of scatter plots and bubble charts in visualising relationships between variables. (5 marks)
ANSWER
b) Using a dataset of your choice, create a scatter plot (using R) that visualises the relationship between two variables, and explain the insights derived from this visualisation. (5 marks)
ANSWER