Data Visualization Data Storytelling 3

Question 1

What is 'data humanism' as described by Giorgia Lupi?

Accepted Answer

An approach that reconnects data to individual human stories and experiences

Answer

Data humanism is Giorgia Lupi's philosophy of designing visualizations that acknowledge the human complexity behind data points rather than treating them as abstract numbers.

Question 2

What does the term 'narrative arc' mean when applied to data presentations?

Accepted Answer

A structured story structure with setup, conflict/tension, and resolution applied to data findings

Answer

Applying a narrative arc to data means structuring a presentation with an exposition (context), rising tension (a problem or challenge), and resolution (the insight or recommendation).

Question 3

What is the danger of 'cherry-picking' data in visualization?

Accepted Answer

Selectively showing only data that supports a predetermined conclusion, misleading the audience

Answer

Cherry-picking selectively presents only favorable data while hiding contradictory evidence, creating a misleading and ethically problematic narrative.

Question 4

In the context of data storytelling, what is 'exploratory' versus 'explanatory' analysis?

Accepted Answer

Exploratory is for finding insights; explanatory is for communicating a specific finding to others

Answer

Exploratory analysis involves analysts searching for patterns and insights, while explanatory analysis communicates a specific, pre-identified finding to a target audience.

Question 5

What is 'scrollytelling' in digital data journalism?

Accepted Answer

A narrative format where visualizations animate or change as the user scrolls through a webpage

Answer

Scrollytelling binds scroll position to visual transitions, allowing readers to progress through a data narrative at their own pace with dynamic chart updates.

Data Visualization Practice Test

Data Visualization Practice Test

Data Visualization Data Storytelling 3