Data Visualization Data Storytelling

Question 1

What are the three core components of data storytelling according to Brent Dykes?

Accepted Answer

Data, narrative, and visuals

Answer

Charts, tables, and maps

Answer

Context, content, and conclusion

Answer

Insight, evidence, and recommendation

Question 2

What is an 'annotation' in the context of data storytelling?

Accepted Answer

Text added directly to a chart to explain a specific data point or event

Answer

A footnote listing data sources

Answer

A table summarizing key statistics

Answer

A legend explaining color coding

Question 3

What is the 'so what' test in data storytelling?

Accepted Answer

Ensuring each visualization answers why the data matters to the audience

Answer

Testing whether the data is statistically significant

Answer

Checking that all charts have titles

Answer

Verifying data sources are cited

Question 4

What is 'audience-centered design' in data storytelling?

Accepted Answer

Tailoring the data, narrative, and visual choices to the specific knowledge and needs of your audience

Answer

Placing the chart title at the audience's eye level

Answer

Creating dashboards accessible to all users

Answer

Surveying audiences after presentation

Question 5

What is the 'inverted pyramid' structure in data storytelling?

Accepted Answer

Leading with the most important conclusion, then providing supporting evidence

Answer

Showing the smallest charts first

Answer

Displaying data from smallest to largest values

Answer

Using a pyramid chart to show hierarchy

Question 6

What does 'data context' provide in a data story?

Accepted Answer

Benchmarks, comparisons, or background information that helps the audience interpret data meaningfully

Answer

The technical specifications of the dataset

Answer

The source database or spreadsheet

Answer

Color codes for chart elements