Module 3: Craft data stories
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In this post, I provide accurate answers and detailed explanations for Module 3: Craft data stories of Course 6: Share Data Through the Art of Visualization – Google Data Analytics Professional Certificate.
Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.
Test your knowledge on data-driven stories
Practice Quiz
1. Data storytelling involves which of the following elements? Select all that apply.
- Communicating the meaning of a dataset with visuals ✅
- Describing the steps of your analysis process
- Selecting only the data points that support your case
- Using a narrative that is customized to your audience ✅
Explanation:
Data storytelling combines meaningful visuals and a customized narrative to present insights effectively.
2. A data analyst presents their data story to an audience. They aim to capture and hold the audience members’ interest and attention. Which data storytelling concept does this describe?
- Engagement ✅
- Narrative
- Visuals
- Primary message
Explanation:
Engagement is about capturing and maintaining the audience’s interest throughout the presentation.
3. Which of the following activities would a data analyst do while spotlighting? Select all that apply.
- Write notes on a white board that contain the data analysis insights ✅
- Focus on the details of the analysis and results
- Search for broad, universal ideas and messages ✅
- Identify ideas or concepts that arise repeatedly ✅
Explanation:
Spotlighting involves identifying important insights by recognizing recurring themes, broad ideas, or taking notes to highlight key points.
Test your knowledge on using dashboards
Practice Quiz
4. Fill in the blank: A dashboard organizes information from multiple datasets into one central location. This enables the information to be _____. Select all that apply.
- tracked ✅
- visualized ✅
- analyzed ✅
- protected
Explanation:
Dashboards allow users to track, visualize, and analyze data in one central view.
5. A data analyst is choosing their dashboard layout. They want the layout to automatically resize itself based on the dashboard size. They should use a tiled layout.
- True ✅
- False
Explanation:
A tiled layout automatically resizes objects within the dashboard to fit the space available. This means that objects “tile” into the available space and adjust their size dynamically based on the dashboard’s size. This is ideal when you want the layout to automatically adjust without having to manually resize each element.
6. What are some reasons why you might choose to use filters when creating a dashboard view? Select all that apply.
- To put the data in chronological order
- To highlight individual data points ✅
- To remove outliers that don’t conform to your hypothesis
- To zero in on what’s important to your stakeholders ✅
Explanation:
Filters allow users to focus on specific data points and highlight information that is most relevant to the audience. However, filters aren’t typically used for putting data in chronological order or removing outliers related to a hypothesis.
Test your knowledge on communicating data stories
Practice Quiz
7. A new challenge from a competitor, an inefficient process that needs to be improved, or a potential business opportunity could all represent which aspect of data storytelling?
- Aha moment
- Plot ✅
- Setting
- Big reveal
Explanation:
The “Plot” is the core issue or challenge in data storytelling. It sets the stage for the story, providing the context for what needs to be addressed—such as a business opportunity, an inefficiency, or a competitor’s challenge.
8. Fill in the blank: When designing a presentation, a slideshow tool called _____ can be used to control the color, font types and sizes, formating, and positioning of text and visuals.
- themes ✅
- patterns
- schemes
- motives
Explanation:
In a presentation, “themes” are the predefined sets of formatting that control the overall color scheme, fonts, and layout of the slides.
9. A data analyst includes a visual in their presentation to represent information from a dataset. It’s important that the visual reflect the latest information, so the analyst wants it to update automatically if the original dataset changes. The analyst should copy and paste the visual into the presentation.
- True
- False ✅
Explanation:
Copying and pasting a visual into the presentation does not allow it to automatically update when the dataset changes. To ensure the visual updates with the dataset, the analyst should embed the visual or link it to the live data source instead.
Module 3 challenge
Graded Quiz
10. 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
11. 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 ✅
12. 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
13. 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.
14. 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
15. 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 ✅
16. 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 ✅
17. 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
18. Fill in the blank: A data-storytelling narrative draws a connection between the data and the specific _____ of the project.
- stakeholders
- tasks
- objectives ✅
- managers
19. A data analyst scans the data to quickly identify the most important insights. This describes spotlighting.
- True ✅
- False
20. Fill in the blank: An important part of dashboard design is the placement of charts, graphs, and other visual elements. They should be _____, which means that they are balanced and make good use of available space.
- constant
- complete
- clean
- cohesive ✅
21. Fill in the blank: In Tableau, _____ items create a single-layer grid that contains no overlapping elements.
- fixed
- layered
- tiled ✅
- floating
22. While preparing a presentation, you decide to limit the number of lines and words on each slide. This will help keep your audience attentive to what you are saying rather than focusing on reading slides. What is the greatest number of lines and words you should use on each slide?
- 2 lines and 15 words
- 10 lines and 100 words
- 5 lines and 25 words ✅
- 3 lines and 10 words
23. You are creating a slideshow for a client presentation. There is a pivot table in a spreadsheet that you want to include. In order for the pivot table to update whenever the spreadsheet source file changes, how should you incorporate it into your slideshow? Select all that apply.
- Copy and paste the pivot table
- Insert a PDF of the pivot table
- Link the pivot table ✅
- Embed the pivot table
Explanation:
Linking ensures that the pivot table is connected to the source file, and any updates made to the source will be reflected in the slideshow.
24. A data analyst wants to tell a story with data. As a second step, they focus on showing the story of the data to highlight the meaning behind the numbers. Which step of data storytelling does this describe?
- Assemble word clouds
- Create compelling visuals
- Engage your audience
- Tell an interesting narrative
25. Which of the following questions do data analysts ask to make sure they will engage their audience? Select all that apply.
- What information will convince the audience that my opinion is correct?
- What roles do the people in this audience play? ✅
- What does the audience hope to do with the data insights? ✅
- What is the audience’s stake in the project? ✅
26. A data analyst links their visualizations to external spreadsheets containing the data being described. What is the purpose for doing this?
- It allows changes made to the spreadsheet data that will not change the visualizations.
- It allows for the creation of multiple visualizations using the same dataset.
- It allows the visualization to be edited without the spreadsheet data being affected.
- It allows changes made to the spreadsheet data to automatically reflect in the visualizations. ✅
27. What three key components are required in a data storytelling narrative?
- Stakeholders, analysts, and customers
- Spotlighting, setting, and takeaways
- Measurement, data, and analysis
- Beginning, middle, and end ✅
Explanation:
A strong data storytelling narrative follows the structure of a story with a clear beginning (setting), middle (analysis), and end (takeaways).
28. You are designing a dashboard in Tableau. You choose a layout that allows objects to be layered over other items in the dashboard. What type of layout is this?
- Tiled
- Vertical
- Horizontal
- Floating ✅
29. On a scatterplot, what is the term for a point that lies far from the rest of the points?
- An error
- A filter
- An outlier ✅
- An anomaly
30. A data analyst wants to save stakeholders time and effort when working with a Tableau dashboard. They also want to direct stakeholders to the most important data. What process can they use to achieve both goals?
- Pre-filtering ✅
- Pre-sorting
- Pre-sizing
31. Fill in the blank: An effective slideshow guides your audience through your main communication points, but it does not repeat every word you say. A best practice is to keep text to fewer than _____ lines and 25 words per slide.
- 2
- 10
- 5 ✅
- 15
32. A data analyst has multiple points to show with the same visualization. What should they do to communicate these points effectively to their audience?
- Save some of the points to use in another presentation
- Create a new visualization for each point they need to make
- Limit the number of points to only a few that are the most relevant ✅
- Identify each point on the same visualization using arrows
33. A data analyst wants to tell a story with data. As a first step, they consider who will be listening to the data story and focus on capturing and holding their audience's interest. Which step of data storytelling does this describe?
- Assemble word clouds
- Tell an interesting narrative
- Engage your audience ✅
- Create compelling visuals
34. You are preparing to communicate to an audience about an analysis project. You know that audience engagement is a crucial part of getting them to listen to what you have to say. You compile a list of the insights from your work and review it to identify both the key takeaways and the details that are less relevant. What process does this describe?
- Narrative
- Spotlighting
- Discussion
- Takeaways
35. A data analyst is designing a dashboard. They make sure that the charts, graphs, and other visual elements are balanced and make good use of available space. What dashboard best practice does this describe?
- Detail
- Completeness
- Cohesion ✅
- Labeling
36. You are sharing your Tableau dashboard with stakeholders. What process can you implement so the stakeholders do not need to filter the dashboard themselves?
- Pre-sizing
- Pre-filtering ✅
- Pre-filtering
- Pre-building
37. You want to include a visual in your slideshow that will update automatically when its original source file updates. Which of the following actions will enable you to do so?
- Copy and paste the visual into the presentation
- Take a screenshot of the visual and paste it into the presentation
- Link the original visual within the presentation ✅
- Embed the visual into the presentation
38. An analyst is designing a dashboard. In order for it to be effective, they make sure that the charts, graphs, and other visual elements are balanced. What else should they do to make the dashboard design cohesive?
- Fill it with color.
- Make good use of space. ✅
- Put in lots of detail.
- Make sure the dashboard is complete.
39. Fill in the blank: When a data analyst notices a data point that is very different from the norm in a scatterplot, the best course of action is to _____ the outlier.
- investigate ✅
- move
- remove
- hide
40. You are working on a huge dataset and visualizing your data with Tableau. As a next step, you want to focus on only the data that is most important. Which Tableau tool can you use to limit the data displayed on the dashboard?
- Pre-filtering ✅
- Pre-building
- Pre-sorting
- Pre-sizing
41. Fill in the blank: An effective slideshow guides your audience through your main communication points, but it does not repeat every word you say. A best practice is to keep text to fewer than five lines and _____ words per slide.
- 50
- 5
- 100
- 25 ✅
42. A data analyst embeds their visualizations in their slideshow. These visualizations are based on data contained in external spreadsheets. Why might the analyst do this rather than copy and pasting the visualization?
- Subsequent changes made to the spreadsheet data will automatically be reflected in the slideshow.
- The visualizations will remain with the spreadsheet file instead of the presentation.
- Subsequent changes made to the spreadsheet data will not affect the visualization.
- The visualizations can be edited directly in the slideshow.
43. You are working on a data visualization in Tableau. Which tool can you use to highlight individual points, limit the number of columns or rows in the view, and provide data to different users based on their particular needs?
- Filters ✅
- Labels
- Functions
- Commands
Explanation:
“Filters” allow you to focus on specific data points, limit visible data, and personalize views for different users based on their needs.
44. You are preparing to communicate to an audience about an analysis project. You consider the roles that your audience members play and their stake in the project. What aspect of data storytelling does this scenario describe?
- Takeaways
- Engagement ✅
- Discussion
- Theme
45. An analyst is communicating to an audience about an analysis project. In order to get the audience interested in the results of their work, the analyst explains how the insights from their work will affect the audience. What aspect of data storytelling does this scenario describe?
- Theme
- Takeaways
- Engagement✅
- Discussion
46. Which of the following are appropriate uses for filters in Tableau? Select all that apply.
- Hiding outliers that do not support the hypothesis
- Limiting the number of rows or columns in view ✅
- Providing data to different users based on their particular needs ✅
- Highlighting individual data points ✅
47. A data analyst creates a dashboard in Tableau to share with stakeholders. They want to avoid having the stakeholders filter the dashboard themselves and direct them to the most important data points. What tool can they use to achieve this?
- Pre-building
- Pre-sorting
- Pre-sizing
- Pre-filtering ✅
48. An analyst creates a presentation for stakeholders. In order to communicate effectively, they choose their language carefully. What best practices for effective communication should they consider? Select all that apply.
- Use non-technical language only
- Avoid slang terms and idioms ✅
- Address specific audience members
- Define all abbreviations ✅
49. Fill in the blank: An important part of dashboard design is ensuring that charts, graphs, and other visual elements are cohesive. This means that they are _____ and make good use of available space.
- balanced ✅
- detailed
- colorful
- labeled
Explanation:
A cohesive dashboard ensures that its elements are “balanced,” which means they are arranged effectively and make efficient use of space.
50. In Tableau, which layout makes it possible to layer objects over other items?
- Floating ✅
- Tiled
- Layered
- Fixed
Explanation:
The “floating” layout in Tableau allows you to position objects over others, creating layered designs for the dashboard.
51. A data analyst creates a dashboard in Tableau to share with stakeholders. They want to save stakeholders time and direct them to the most important data points. To achieve these goals, they can pre-filter the dashboard.
- True ✅
- False
Explanation:
Pre-filtering the dashboard helps streamline the data presentation, saving time and guiding stakeholders to the most critical insights.
Related contents:
Module 1: Visualize data
Module 2: Create data visualizations with Tableau
Module 4: Develop presentations and slideshows
Module 4: Course challenge
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