1 What is the main purpose of data storytelling?

• Creating data visualizations
• Developing AI algorithms
• Automating data analysis
• Conveying insights from data

Correct Ans – B

2 How does storytelling enhance the communication of data insights?

• By replacing data with anecdotes
• By making data analysis complex
• By adding unnecessary details to data
• By providing context, insight, and interpretation to data

Correct Ans – D

3 What does data storytelling help achieve that data alone may not?

• Increase data complexity
• Reduce the need for data visualization
• Engage the audience and drive change
• Eliminate the need for data analysis

Correct Ans – C

4 What is the role of narrative in data storytelling?

• To present raw data without context
• To simplify complex data
• To make data analysis difficult
• To connect data with context and create a meaningful story

Correct Ans – D

5. How does data storytelling differ from presenting raw data?

• It adds unnecessary details
• It eliminates the need for visuals
• It provides context and meaning to data
• It avoids the use of narratives

Correct Ans – C

6. Why is “Understanding the audience” important in data storytelling?

• To eliminate the need for data visualization
• To determine project budgets
• To tailor the story to the audience’s interests and needs
• To automate data analysis

Correct Ans – C

7. What is the purpose of “Choosing the right data and visualizations” in data storytelling?

• To automate data analysis
• To confuse the audience with complex visuals
• To evaluate model performance
• To present relevant insights clearly

Correct Ans – D

8 How does data storytelling relate to cross-cultural understanding?

• It eliminates the need for cross-cultural interactions
• It relies solely on anecdotes
• It uses data to promote stereotypes
• It enhances cross-cultural understanding by sharing experiences

Correct Ans – D

9. Which of the following is a key element of data storytelling?

     a)Randomness in data presentation
     b) Clear and engaging narrative
     c) Using only technical jargon
     d) Ignoring the audience’s needs

Correct Ans – B

10 In data storytelling, which of the following should be prioritized?

     a)Raw data and numbers
     b) The visual representation of data
     c) The story’s impact on the audience
     d) Complicated statistical analysis

Correct Ans – C