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B. Long answer type questions.
1. How can a data story bring about change in perspective?
Ans. When we narrate the observations made from data, it helps us to explain to the audience ‘How data is behaving” for
different instances and why a particular insight has been generated. When we visualize this data through charts and
graphs, they can enlighten the audience or the stakeholders to see the data which is in terms of facts and figures
in a different perspective and help them to analyse and make the right decisions at the right time.
2. What do you mean by the plot and setting of a story?
Ans. Plot is what happens in a story. A strong plot focuses on a moment (a break in a pattern, a turning point) that raises
a dramatic question that must be answered as the story progresses. Setting is a time and place where the story
occurs. It can be real or imaginary.
3. Why is data storytelling considered a difficult process?
Ans. • The collection of huge data is quite difficult.
• After collecting the data, it is difficult to prepare the data which includes updating, cleaning, and keeping only
the necessary portion.
• The next step is Data Analysis which includes various tools for visualization and conducting basic to advanced
analysis which requires a skilled team of people.
4. Is data analysis enough to gain insights? Why is there a need for data storytelling?
Ans. Even after data analysis, there is no assurance that the analysis alone can bring change in the people unless it is
narrated properly. The analysis which is having both data and analytics with a good narrative is much more effective
than anecdotes or personal experiences.
5. How can effective data storytelling be achieved, and what strategies can be employed to engage the audience and
maintain their interest?
Ans. Effective data storytelling involves several strategies to engage the audience and convey insights successfully:
• Make the Audience Care: To ensure data insights have an impact, it's crucial to make the audience care about
the data being presented.
• Engagement Techniques: Utilize techniques such as questions, polls, quizzes, or feedback to actively involve the
audience and encourage their participation.
• Use Data Visualizations: Data visualizations play a significant role in helping the audience understand complex
information more easily.
• Structuring the Story: Begin with the end goal in mind and structure the narrative from that point. Bullet points
can outline major plot points, maintaining a clear and concise flow.
• Anecdotes and Data: Starting with an anecdote and concluding with data can provide a structured and relatable
framework for the story.
• Suspense Over Surprise: Instead of relying on sudden surprises, gradually build suspense by leading up to
anticipated events.
• Audience Involvement: Introducing new information that intrigues the audience while withholding some details
maintains suspense, encouraging the audience to stay engaged and ask further questions.
C. Competency-based/Application-based questions:
The following question consist of two statements: Assertion (A) and Reason (R).
Assertion (A): When storytelling and imagery merge, they can ultimately attract or even entertain an audience
Reason (R): When you combine the right visuals and stories with the right data, you have a data story that can influence
and stimulate change.
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