21. Distinguishing elements of your data visualizations makes the content easier to see. This can help make them more accessible for audience members with visual impairments. What are some methods data analysts use to distinguish elements?
- Ensure all elements are highlighted equally
- Separate the foreground and background
- Use similar colors and shapes
- Add a legend
22. You need to create a chart that explores how temperature changes throughout the year. What type of chart would best represent this data?
- Correlation Chart
- Time Series Chart
- Histogram
- Ranked Bar Chart
23. What type of visualizations give you the most control over the story you want to tell with your data?
- Static visualizations
- Dynamic visualizations
- Aesthetic visualizations
- Geometric visualizations
24. Fill in the blank: When choosing a chart you should choose the one that _____.
- makes use of the most modern visualization tool
- uses the least number of visual elements like size and shape
- uses as many visual elements like size and shape as possible
- makes it easiest to understand the point you are trying to make
25. A data analyst is designing a chart. They decide to use colors that make sense to their audience. What phase of creating data visualizations does this describe?
- Test Phase
- Ideate Phase
- Prototype Phase
- Empathize Phase
26. During which phase of the design process do you start to generate data visualization ideas?
- Ideate
- Test
- Empathize
- Define
27. What should you include in the headline of a data visualization?
- Abbreviations
- Clear language
- Acronyms
- Fancy typography
28. A data analyst is making their data visualization more accessible. They separate the background and the foreground of the visualization using bright, contrasting colors. What does this describe?
- Labelling
- Text alternatives
- Distinguishing
- Text-based format
Shuffle Q/A 3
30. What type of charts are effective for presenting the composition of data? Select all the apply.
- Pie chart
- Line chart
- Tree map
- Heat map
