Data Storytelling MCQs - Class 12 AI (417)

These Data Storytelling MCQs for Class 12 AI follows the latest CBSE curriculum. It take you from the basics to application-based questions. Attempt each question, check the answer right away, and learn exactly where you stand before the exam does the testing for you.

Q1. What is the primary purpose of data storytelling?
a) To display raw data without interpretation
b) To translate complex data into an understandable narrative
c) To replace data analysis with imagination
d) To present information using numbers only

Q2. Which of the following best explains why stories have been an important part of human life since ancient times?
a) They help people memorize numerical calculations
b) They are used only for entertainment
c) They help share imagination, experiences and thoughts
d) They eliminate the need for communication

Q3. Which of the following is NOT a reason why storytelling is a powerful tool?
a) It generates interest and captivates audiences
b) It keeps us engaged and focused
c) It makes complex ideas more accessible and understandable
d) It removes the need for any audience

Q4. In the elements of a story, the problem or situation that the characters are dealing with and that drives the story forward is called:
a) Setting
b) Resolution
c) Conflict
d) Insight

Q5. The resolution of a story comes at the stage immediately after the:
a) Introduction
b) Climax
c) Rising action
d) Setting

Q6. In the context of a story, an insight is:
a) A clear, deep and sometimes sudden understanding of a complicated problem or situation
b) The time and place of the story
c) The sequence of events in a story
d) The villain of the story

Q7. Which of the following are the three essential elements of data storytelling?
a) Data, Software, Charts
b) Facts, Fiction, Figures
c) Characters, Plot, Setting
d) Data, Narrative, Visuals

Q8. In data storytelling, “data” is described as:
a) The final conclusion drawn from analysis
b) Basic or raw facts about any entity and the primary building block of every data story
c) The pictorial representation of information
d) The storyline presented to the audience

Q9. Which element ensures that the storyline is crisp, linear, coherent and contextual?
a) Narrative
b) Data
c) Visuals
d) Raw facts

Q10. Which of the following refers to a clear and deep understanding of a complicated situation?
a) Plot
b) Insight
c) Setting
d) Character

Q11. Visuals in a data story enable the audience to see:
a) Only the opinion of the presenter
b) The source code of the data
c) Trends, patterns and anomalies in the data
d) The legal rights of the data owner

Q12. Data storytelling helps fill the communication gap between:
a) Hardware and software
b) Technology and people
c) Teachers and textbooks
d) Data storage and data entry

Q13. In the Venn diagram of data storytelling, the combination of Narrative and Visuals primarily helps to:
a) Explain
b) Engage
c) Enlighten
d) Change

Q14. The centre of the Venn diagram, where Data, Narrative and Visuals overlap, is labelled:
a) Engage
b) Explain
c) Enlighten
d) Change

Q15. In Freytag’s Pyramid, the stage in which the setting is established and the main characters are introduced is the:
a) Rising action
b) Introduction
c) Climax
d) Falling action

Q16. The stage of Freytag’s Pyramid in which the fortune of the protagonist turns for the better or worse is the:
a) Climax
b) Introduction
c) Falling action
d) Conclusion

Q17. Which element of data storytelling helps audiences identify trends, patterns and anomalies?
a) Data visualization
b) Conflict
c) Resolution
d) Introduction

Q18. Which visualization is suited to text data, showing word size according to frequency and importance?
a) Word Cloud
b) Candlestick Chart
c) Line Graph
d) Map Chart

Q19. Which chart is used as a visual aid for decision-making in stock, forex, commodity and option trading?
a) Histogram
b) Pie Chart
c) Scatter Plot
d) Candlestick Chart

Q20. Which visualization represents the distribution of continuous data through bars?
a) Histogram
b) Pie Chart
c) Line Graph
d) Word Cloud

Q21. Which visualization is a multi-axes grid of subplots used for mixed data?
a) Pie Chart
b) Histogram
c) FacetGrid
d) Candlestick Chart

Q22. A scientist wants to examine the relationship between study hours and examination scores of students. Which visualization would be most appropriate?
a) Word Cloud
b) Scatter Plot
c) Pie Chart
d) Map Chart

Q23. A government wants to display the distribution of rainfall across different geographical regions. Which visualization is most suitable?
a) Map Chart
b) Word Cloud
c) Pie Chart
d) Histogram

Q24. What should be the first step when creating a story through data?
a) Create a narrative
b) Observe relationships
c) Collect and organize data
d) Select visualization tools

Q25. After using proper visualization tools to visualize the data, the next step in creating a data story is to:
a) Collect the data
b) Observe the relationships between the data
c) Present the story to the audience
d) Delete unnecessary data

Q26. Which ethical principle requires clearly citing data sources, analysis methods, and limitations or biases?
a) Accuracy
b) Transparency
c) Privacy
d) Creativity

Q27. Which ethical principle says that data should not be manipulated to support a predetermined narrative?
a) Accuracy
b) Transparency
c) Respect for privacy
d) Engagement

Q28. Spotify’s “2018 Wrapped” and Uber’s “2017 In the rear-view” are examples of:
a) Printing press stories
b) Folk tales
c) Fables
d) Famous brand data stories

Q29. Data storytelling is described as filling a vital gap in business and technical analytics between:
a) Technology and people
b) Data and software
c) Sales and marketing
d) Students and teachers