Data Visualization Data Storytelling 1 β Questions and Answers
Question 1: What are the three core components of data storytelling according to Brent Dykes?
- Charts, tables, and maps
- Data, narrative, and visuals (Correct answer)
- Context, content, and conclusion
- Insight, evidence, and recommendation
Correct answer: Data, narrative, and visuals
Brent Dykes' data storytelling framework combines data (the foundation), narrative (context and explanation), and visuals (the engagement layer).
Question 2: What is an 'annotation' in the context of data storytelling?
- A footnote listing data sources
- Text added directly to a chart to explain a specific data point or event (Correct answer)
- A table summarizing key statistics
- A legend explaining color coding
Correct answer: Text added directly to a chart to explain a specific data point or event
Annotations are text labels added directly to charts to highlight significant events, explain anomalies, or draw attention to key insights.
Question 3: What is the 'so what' test in data storytelling?
- Testing whether the data is statistically significant
- Ensuring each visualization answers why the data matters to the audience (Correct answer)
- Checking that all charts have titles
- Verifying data sources are cited
Correct answer: Ensuring each visualization answers why the data matters to the audience
The 'so what' test challenges every chart or data point: if you can't articulate why it matters to your specific audience, it shouldn't be included.
Question 4: What is 'audience-centered design' in data storytelling?
- Placing the chart title at the audience's eye level
- Tailoring the data, narrative, and visual choices to the specific knowledge and needs of your audience (Correct answer)
- Creating dashboards accessible to all users
- Surveying audiences after presentation
Correct answer: Tailoring the data, narrative, and visual choices to the specific knowledge and needs of your audience
Audience-centered design adapts the complexity, context, terminology, and visual format of data stories to match the background and objectives of the intended viewers.
Question 5: What is the 'inverted pyramid' structure in data storytelling?
- Showing the smallest charts first
- Leading with the most important conclusion, then providing supporting evidence (Correct answer)
- Displaying data from smallest to largest values
- Using a pyramid chart to show hierarchy
Correct answer: Leading with the most important conclusion, then providing supporting evidence
The inverted pyramid structure leads with the key insight or recommendation first, followed by supporting data and details, mirroring journalistic writing style.
Question 6: What does 'data context' provide in a data story?
- The technical specifications of the dataset
- Benchmarks, comparisons, or background information that helps the audience interpret data meaningfully (Correct answer)
- The source database or spreadsheet
- Color codes for chart elements
Correct answer: Benchmarks, comparisons, or background information that helps the audience interpret data meaningfully
Context provides comparisons (e.g., benchmarks, prior periods, industry averages) that allow the audience to judge whether a number is good, bad, or neutral.
Data Visualization Data Storytelling 1
What are the three core components of data storytelling according to Brent Dykes?