Crafting Data Stories Introduction

Test your knowledge on data-driven stories

1. Data storytelling involves which of the following elements? Select all that apply.

2.  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?

3. Which of the following activities would a data analyst do while spotlighting? Select all that apply.

hands-on Activity: Crafting, filtering, and customizing charts

1. Which changes can you make to customize a chart in a spreadsheet? Select all that apply.

test your knowledge on using dashboards

1. 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.

2. 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.

3. What are some reasons why you might choose to use filters when creating a dashboard view? Select all that apply.

test your knowledge on communicate data stories

1. 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?

2. 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.

3. 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.

GOOGLE DATA ANALYTICS COURSERA ANSWERS AND STUDY GUIDE

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Share Data Through the Art of Visualization Weekly Challenge 3

1. Fill in the blank: A data-storytelling narrative connects the data to the project _____.

2. 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?

3. 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.

4. A data analyst is creating a dashboard using Tableau. In order to layer objects over other items, which layout should they choose?

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

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.

7. 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.

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.

9. A data professional working for a large retail chain analyzes customer purchase data to identify trends and patterns. While reviewing a scatterplot of purchase frequency versus amount, the analyst notices a cluster of data points far away from the main trendline. What should they do with this outlier?

10. Fill in the blank: Charts, graphs, and other dashboard elements should be _____, which means they are balanced and make good use of available space.

11. You are building a dashboard in Tableau. To create a single-layer grid that contains no overlapping elements, which layout should you choose?

12. A data analyst wants to be able to edit a presentation visual directly. In addition, they do not want it to update automatically in other places. Which method should they use when adding the visual to their presentation? 

13. A data analyst at an e-commerce company uses data to identify which customers are most likely to make a purchase. The analyst shares this information with the marketing team in a report that uses data visualizations and storytelling techniques to make the findings clear and actionable. What aspect of data storytelling does this scenario describe?

14. What Tableau tool can be used to limit the data displayed on a dashboard in order to reduce clutter and create a simple, clear visual for dashboard users?

15. Which of the following statements correctly describe presentation best practices? Select all that apply.

16. You prepare to communicate to stakeholders about an analysis project. You consider how to capture and hold people’s interest and attention. What aspect of data storytelling does this scenario describe?

17. A junior data analyst at a manufacturing company analyzes product quality data to identify potential issues. While reviewing a scatterplot of product defect rate versus production batch, the analyst notices a data point far above the average defect rate. What should they do with this outlier?

18. Fill in the blank: Charts, graphs, and other dashboard elements should be cohesive, which means they make good use of _____ and are balanced.

19. You are building a dashboard in Tableau. To create a design in which items can be layered over other objects, which layout should you choose?

20. A data analyst adds a visual to a presentation. They want to be able to edit the visual without affecting the data points from its source file. In addition, they do not want the visual to update within their presentation if the data changes in the source. Which method should they use when adding the visual to their presentation? 

21. A data analyst at an investment firm uses data to identify stocks that have the potential to become more valuable. The analyst shares this information with investment managers in a presentation that uses data visualizations and storytelling techniques to make the findings clear and convincing. What aspect of data storytelling does this scenario describe?

22. Which of the following statements correctly describe presentation best practices? Select all that apply.

23. You prepare 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?

24.  What is the key difference between tiled and floating items in Tableau?

25.  A data analyst at a hospital uses data to show that patients who receive a certain type of treatment have a significantly better chance of making a full recovery. The analyst shares this information with hospital administrators in a presentation that uses data visualizations and storytelling techniques to make the findings clear and compelling. What aspect of data storytelling does this scenario describe?

26.  What Tableau tool can be used to limit the data displayed on a dashboard in order to save stakeholders time and effort?

27. Fill in the blank: Charts, graphs, and other dashboard elements should be cohesive, which means they are _____ and make good use of available space.

28. A data analyst adds a visual to a presentation. They want to ensure that any changes made to the original file within its source location are automatically updated in the presentation. Which method should they use when adding the visual to their presentation?

29. Which of the following statements correctly describe presentation best practices? Select all that apply.

Crafting Data Stories conclusion