Data Visualization Design Quiz 2: 4 August 2024 (May 2024 term)

Q5. You have been provided with a dataset detailing the monthly average temperatures for a city over the past 10 years. The dataset includes the following key insights:

• The average temperature has been rising steadily each year.
• The summer months show the highest temperature increases.
• Winter months have remained relatively stable in temperature.

Considering these insights, which data visualization approach would be the most effective in representing the temperature trends over the past decade?

a. A pie chart showing the average temperature for each month.
b. A scatter plot with individual data points for each month's temperature.
c. A line graph showing monthly average temperatures over the 10-year period.
d. A heat map representing temperature variations for each month over the years.

Q6. A study investigates the relationship between coffee consumption (X) and heart disease (Y), controlling for stress levels (Z). Stress is known to cause both coffee consumption and heart disease. What type of bias might this introduce?

a. Collider bias
b. Measurement bias
c. Selection bias
d. Sampling bias

Part B – Multiple Select Question: Each question has four choices, out of which one or more than one choice(s) is the correct answer.
(6×3=18 marks)

Q1. In a pie chart illustrating market share for various products, which approach could be used to enhance the visibility of the smallest slice?

a. Increasing the radius of the entire pie chart.
b. Using a lighter shade for the smallest slice.
c. Adding a label to the smallest slice indicating its percentage.
d. Rotating the entire pie chart to position the smallest slice at the top.

Q2. Which of the following techniques can be employed to effectively utilize the pop-out effect in data visualization? (Select all that apply)

a. Using vibrant colors for all data points to maintain visual consistency.
b. Emphasizing important data points by increasing their size or using bold font.
c. Using a contrasting color for specific data points to make them stand out.
d. Placing relevant data points closer to the center of the visualization.

Q3. How can Weber's law be utilized in data visualization?

a. Modifying the size of visual elements to enhance their distinguishability.
b. Altering the color of visual elements to improve their distinguishability.
c. Including a legend in a scatter plot to clarify the relationship between the x and y axes.
d. Adjusting the position of visual elements to facilitate their distinguishability.

Part C – Short Answer Questions: Write ~100 words answers to each question. Answer using pen & paper and add sketches/drawings to support them in the paper provided to you. (4x4=16 marks)

The 2 charts given below are from the interactive graphic done by ProPublica on how much workers in different states in the U.S. receive as compensation payments from their employers (or employers' insurance carriers) if they are injured on the job.

1. Identify the key insight that the visualization is trying to highlight and explain how it has succeeded (or failed) in achieving it.
2. List at least 2 visualization techniques that you have learned from the course and explain how they have been used in the visualization.
3. What are the story elements used in the visualization that makes it effective?
4. How is the same story told in multiple ways?