Week 3 – Crafting data stories

share data through the art of visualization weekly challenge 3

1. A data analyst wants to communicate to others about their analysis. They ensure the communication has a beginning, a middle, and an end. Then, they confirm that it clearly explains important insights from their analysis. What aspect of data storytelling does this scenario describe?

  • Spotlighting
  • Takeaways
  • Narrative
  • Setting


2. A data analyst prepares to communicate to an audience about an analysis project. They consider what the audience members hope to do with the data insights. This describes establishing the setting.

  • True
  • False

3. When designing a dashboard, how can data analysts ensure that charts and graphs are most effective? Select all that apply.

  • Incorporate all of the data points from the analysis
  • Make good use of available space
  • Place them in a balanced layout
  • Include as many visual elements as possible

4. What are the key differences between tiled and floating items in Tableau?

  • Tiled items create a single-layer grid that contains no overlapping elements; floating items can be layered over other objects.
  • Tiled items are connected by straight lines; floating items are unconnected.
  • Tiled items always have a square layout; floating items are always based on circles.
  • Tiled items can be layered over other objects; floating items create a single-layer grid that contains no overlapping elements.


5. A data analyst creates a scatter plot in Tableau and notices an outlier. What should they do next?

  • Use a filter to highlight the outlier, as it is more important than the rest of the data
  • Investigate the outlier to determine if it can lead to any important observations
  • Shift the outlier to the center of the other data points for conformity
  • Remove the outlier, as it is unlikely to lead to any important observations

6. You are creating a dashboard in Tableau to share with stakeholders. Why might you decide to pre-filter the dashboard? Select all that apply.

  • To eliminate data points that do not support your conclusions
  • To save stakeholders the effort of filtering the dashboard themselves
  • To save stakeholders time in finding important data
  • To direct stakeholders to important data

7. Fill in the blank: A data analyst is creating the title slide in a presentation. The data they are sharing is likely to change over time, so they include the _____ on the title slide. This adds important context.

  • key findings of the presentation
  • name of the data source
  • data analysts involved in the project
  • date of the presentation


8. A data analyst wants to include a visual in their slideshow, then make some changes to it. Which of the following options will enable the analyst to edit the visual within the presentation without affecting its original file? Select all that apply.

  • Connect the original visual to the presentation via its URL
  • Copy and paste the visual into the presentation
  • Embed the visual into the presentation
  • Link the original visual within the presentation


Shuffle Q/A 1

9. Fill in the blank: A data-storytelling narrative draws a connection between the data and the specific _____ of the project.

  • stakeholders
  • tasks
  • objectives
  • managers

10. A data analyst scans the data to quickly identify the most important insights. This describes spotlighting.

  • True
  • False

Devendra Kumar

Project Management Apprentice at Google

Leave a Reply