Page 202 - Artificial Intellegence_v2.0_Class_12
P. 202
b. Option- B tells a better story
Reason:
• It contains clear/adequate data in the visuals
• The insight given at the bottom of the visual B is giving a clear idea about context.
• There is no narration given in Option A.
23. Briefly explain the purpose of Data storytelling. Also discuss the significance of each of the key elements in the
process of Data storytelling. [2023]
Ans. Purpose of data storytelling:
• It is an effective tool to transmit human experience. Narrative is the way we simplify and make sense of
a complex world. It supplies context, insight, interpretation—all the things that make data meaningful,
more relevant and interesting.
• No matter how impressive an analysis, or how high-quality the data, it is not going to compel change
unless the people involved understand what is explained through a story.
• Stories that incorporate data and analytics are more convincing than those based entirely on anecdotes
or personal experience.
• It helps to standardise communications and spread results.
• It makes information memorable and easier to retain in the long run.
Significance of key elements:
The three key elements include data, visuals, and narrative.
• When the narrative is accompanied with data, it helps to explain the audience what’s happening in the
data and why a particular insight has been generated.
• When visuals are applied to data, they can enlighten the audience to the insights that they wouldn’t
perceive without the charts or graphs.
• When narrative and visuals are merged together, they can engage or even entertain an audience.
• When you combine the right visuals and narrative with the right data, you have a data story that can
in uence and drive change.
N A R R A T I V E V I SU A L S
ENGAGE
CHANGE
EXPLAIN ENLIGHTEN
DATA
200 Touchpad Artificial Intelligence (Ver. 2.0)-XII

