Data-Story Telling Quiz

Assertion(A): When the narrative is accompanied with data, it helps explain to the audience what is happening in the data and why a particular insight has been generated.

Reason(R): Narrative is not always needed to explain the story?

Answer these questions selecting the appropriate option from those given below:

• Both A and R are true and R is the correct explanation of A.

• Both A and R are true but R is not the correct explanation of A.

• A is true but R is false.

• A is false but R is true.

Answer explanation

Narrative can help explain what is happening in the data and why a particular insight has been generated. However, it is not always necessary to use narrative to explain data. In some cases, the data may be self-explanatory, or it may be more effective to present the data visually without accompanying narrative. So, while narrative can be a powerful tool for data storytelling, it is not always required or appropriate in every situation.

Assertion(A): Data stories are more interesting and engaging than looking at data.

Reason(R ): They change the way we interact with data, transforming it from a dry collection of “facts” to something  that can be entertaining, engaging, thought-provoking and inspiring.

Answer these questions selecting the appropriate option from those given below:

• Both A and R are true but R is not the correct explanation of A.

• A is true but R is false.

• A is false but R is true.

• Both A and R are true and R is the correct explanation of A.

Answer explanation

The correct answer is option d. Both Assertion(A) and Reason(R) are true, and R is the correct explanation of A. Data stories are more interesting and engaging than looking at data because they present data in a way that is meaningful, relevant, and easy to understand, which can inspire curiosity and provoke thought. By using narrative and visuals, data stories can transform data from a dry collection of "facts" to something that is entertaining, engaging, and inspiring.

Stories when told in the form of a narrative reduce ambiguity, connect data with context and present a specific  interpretation. True or false?

• True

• False

Answer explanation

When data is presented in the form of a narrative, it reduces ambiguity and provides context, making it easier for the audience to understand and relate to the information. Storytelling also allows for a specific interpretation of the data to be presented, which can be more impactful than simply presenting the data itself. This is because stories engage the audience emotionally, making the information more memorable and compelling.

Data Story telling has three key elements – data, visuals, narrative. True or False?

• True

• False

Answer explanation

Data storytelling typically involves three key elements: data, visuals, and narrative. The data provides the foundation for the story, the visuals help to communicate the information in a clear and compelling way, and the narrative ties everything together and makes the story more engaging and memorable. By combining these elements effectively, data storytellers can communicate complex information in a way that is easy to understand and remember.

Each data point holds a lot of information which is clear on its own. True or False?

• True

• False

Answer explanation

While each data point may contain valuable information, it is often not clear on its own. Data points need to be analyzed and contextualized in order to extract meaningful insights. This is where data storytelling comes in, as it allows for data to be presented in a way that makes it easier to understand and interpret. By providing context, visual aids, and a clear narrative, data storytellers can help to uncover patterns, trends, and relationships that might not be apparent from the raw data alone.

A well told story is an inspirational narrative that is crafted to engage the audience across boundaries and cultures. True or False?

• True

• False

Answer explanation

A well-told story is one that inspires and engages the audience, regardless of their background or culture. A good story should be crafted in a way that resonates with people on a human level, with characters and themes that are relatable and meaningful. This is especially important in data storytelling, as the audience may not have a deep understanding of the data or the technical aspects of the analysis. By presenting the information in the form of a story, data storytellers can make the data more accessible and engaging, helping to build understanding and support for their insights and recommendations.

Narrative is the way we simplify and make sense of a complex world. True or False?

• True

• False

Answer explanation

Narrative is a way we make sense of a complex world. Stories help us understand complicated concepts and connect them to our own experiences. By framing data and insights within a narrative, we can provide context and meaning that helps our audience better understand and retain the information being presented. This is why storytelling is such a powerful tool in data analytics - it allows us to translate complex data and analysis into something that is more relatable and understandable to a wider audience.

What is wrong with the data story visualization shown?

• Color allocation isn’t representative of the %

• No mention of survey size or link to source data

• Improper use of percentages and inconsistent scaling

• All the options mentioned show what is wrong with the data story

What is the story behind the data visualization shown?

• Content marketers were asked to compare approximately how their use of visuals in marketing changed between 2018 and 2019.

• In 2019, 74% of the marketers we surveyed stated that more than 70% of their content contained some form of visual. This was a 10.5% increase in visual content use from what these same marketers claimed was the case in 2018.

• The use of different visual formats has seen a significant increase over the past year.

• All the options is the story behind the data visualization shown

Which of these is NOT a step involved in telling an effective data story?

• Choosing the right data and visualizations

• Drawing attention to key information

• Developing a narrative

• Developing a data model