3.1 Data-driven stories

Fill in the blank: A data professional uses a ___ as a central location to organize information from multiple datasets for tracking, analysis, and visualization.

A. data channel

B. dashboard

C. framework

D. data warehouse

B. dashboard

Which of the following activities are aspects of data storytelling? Select all that apply.

A. Describe the steps of your analysis process

B. Use a narrative that is customized to your audience

C. Communicate the meaning of a dataset with visuals

D. Select data points that support your case

B. Use a narrative that is customized to your audience

C. Communicate the meaning of a dataset with visuals

A data analyst presents their data story to an audience. They prioritize capturing and holding the audience members' interest and attention. Which data storytelling concept does this describe?

A. Visuals

B. Engagement

C. Primary message

D. Narrative

B. Engagement

What activities are elements of the spotlighting process? Select all that apply.

A. Search for broad, universal ideas and messages

B. Write notes on a white board that contain the data analysis insights

C. Identify ideas or concepts that arise repeatedly

D. Focus on the details of the analysis and results

A. Search for broad, universal ideas and messages

B. Write notes on a white board that contain the data analysis insights

C. Identify ideas or concepts that arise repeatedly