Week 1 – Visualizing data

share data through the art of visualization weekly challenge 1

1. A data analyst wants to create a visualization that demonstrates how often data values fall into certain ranges. What type of data visualization should they use?

  • Line graph
  • Scatter plot
  • Histogram
  • Correlation chart

 

2. What do correlation charts reveal about the data they contain?

  • Causation
  • Relationships
  • Changes
  • Visualization

3. You are creating a presentation for stakeholders and are choosing whether to include static or dynamic visualizations. Describe the difference between static and dynamic visualizations.

  • Static visualizations are interactive and can automatically change over time. Dynamic visualizations do not change over time unless they’re edited.
  • Static visualizations do not change over time unless they’re edited. Dynamic visualizations are interactive and can automatically change over time.
  • Static visualizations combine multiple visualizations into a whole. Dynamic visualizations separate out the individual elements of a single visualization.
  • Static visualizations separate out the individual elements of a single visualization. Dynamic visualizations combine multiple visualizations into a whole.

4. Sophisticated use of contrast helps separate the most important data from the rest using the visual context that our brains naturally respond to.

  • True
  • False

5. Design thinking is a process used to solve complex problems in a visually appealing way.

  • True
  • False

6. Fill in the blank: During the _____ phase of the design process, you start to generate data visualization ideas.

  • empathize
  • ideate
  • test
  • define

 

7. A data analyst adds labels to their line graph to make it easier to read even though they already have a legend on their visualizations. How does labeling the data make it more accessible?

  • Labeling doesn’t depend on interpreting colors
  • Labelling adds contrast to a visualization
  • Labeling creates more visual interest
  • Labeling helps redirect focus from outliers

 

8. Fill in the blank: You should distinguish elements of your data visualization by _____ the foreground and background and using contrasting colors and shapes. This makes the content more accessible.

  • highlighting
  • separating
  • overlapping
  • aligning

Shuffle Q/A 1

9. A data analyst working for an e-commerce website creates the following data visualization to present the amount of time users spend on the site:

What type of visualization is this?

  • Correlation chart
  • Histogram
  • Line graph
  • Scatterplot

10. A data analyst is creating a chart for a presentation. The data they will display shows a correlation between variables. Why should they be careful when presenting their chart to an audience?

  • Correlation can be misunderstood as causation.
  • Correlation causes accessibility issues.
  • Correlation should be avoided in charts.
  • Correlation can only be represented in bar charts.

Devendra Kumar

Project Management Apprentice at Google

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