Question

Why is narrative important in data storytelling?

• A. It increases the volume of data.
• B. It supplies context, insight and interpretation to make data meaningful.
• C. It eliminates the need for data visualization.
• D. It automates the data analysis process.

Hint:

Tip: Data tells what, visuals show how, and narrative explains why — together they tell the whole story.

Answer 1

The Correct Option is B

Data storytelling is not just about numbers and charts — it is about combining data with a narrative to communicate insights effectively.
A narrative provides context to raw data, explaining what the numbers mean in a way that is relatable and easy to understand.
It adds depth and meaning to data by highlighting trends, causes, impacts, and implications.
Without a narrative, even the most beautiful visualizations may fail to deliver a clear message.
Narrative does not increase data quantity, nor does it automate any process.
It also does not replace visualization — instead, it works with visuals to help the audience grasp insights.
Therefore, the narrative’s role is to supply context, insight, and interpretation, making data meaningful and actionable.
So, the correct answer is option (B).