11. What type of data visualizations allow users to have some control over what they see?
- Aesthetic visualizations
- Dynamic visualizations
- Geometric visualizations
- Static visualizations
13. During which phase of the design process do you try to understand the emotions and needs of your target audience?
- Prototype
- Ideate
- Test
- Empathize
14. A data analyst wants to make their visualizations more accessible by adding text explanations directly on the visualization. What is this called?
- Distinguishing
- Subtitling
- Labeling
- Simplifying
15. What should data analysts do to make presentations more accessible for people who are blind and people with low vision?
- Minimize contrast between colors
- Remove labels from data
- Provide text alternatives
- Avoid using shapes and patterns to differentiate data
16. You need to create a chart that displays the number of data records in each age group of a dataset. What type of chart would best represent this data?
- Histogram Chart
- Ranked Bar Chart
- Correlation Chart
- Time Series Chart
17. Which of the following is generally good practice when using bar charts?
- Display the bars in ranked order
- Make the gaps wider than the bars.
- Design bar charts with a single color.
- Avoid stacked bar charts.
18. What are the key elements of effective visualizations you should focus on when creating data visualizations? Select all that apply.
- Clear meaning
- Sophisticated use of contrast
- Visual form
- Refined execution
Shuffle Q/A 2
19. Fill in the blank: Design thinking is a process used to solve complex problems _____.
- as quickly as possible
- in a user-centric way
- using a set order of processes
- with minimal user input
20. Fill in the blank: A data analyst can make their visualizations more accessible by adding _____, which are text explanations placed directly on the visualizations.
- labels
- legends
- callouts
- subheadings
