Week 1 – Visualizing data – Shuffle Q/A 1

11. What type of data visualizations allow users to have some control over what they see?

  • Aesthetic visualizations
  • Dynamic visualizations
  • Geometric visualizations
  • Static visualizations

12. Design thinking is a process used to solve problems in a user-centric way.

  • True
  • False

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

Devendra Kumar

Project Management Apprentice at Google

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