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Always get consent. Avoid making
Respect privacy if assumptions about Employ empowered
the individual says the experiences of writing
' O' others.
Avoid Avoid
Over-Dramatization Stereotypes
Creating a Story from Data
Data storytelling is a structured approach for presenting insights obtained from data. It has three key elements: data,
visuals, and narrative.
Data: The foundation of a data story is the data that has been accurately collected and analysed. Data analysis tools
can be used to collect data from various sources.
Narrative: Effectively communicating insights from the data requires the use of a verbal or written plot known as
the narrative. The narrative should explain the material in its proper context and attempt to provide an convincing
e planation for any actions or decisions that are taken. Data based narratives should clearly e plain the significance
of the data and what it represents.
Visuals: Visualizations are used to enhance narrative and data representations in order to make the story more
understandable. Diagrams, graphs, charts, and images can serve as visualizations.
When we talk about data storytelling, we are referring to stories in which data is the focal element. The story is
intended to explain the statistics and why it is important. Presenting the data in a
disconnected succession of charts and graphs may cause the audience to struggle
to understand it—or, worse, come to the wrong conclusions entirely.
As a result, the significance of a narrative stems from the fact that it explains
what is happening within the data set. It provides context and meaning, as well as
relevance and clarity. A narrative directs the audience's attention and keeps them
engaged by showing them where to look and what not to miss.
Finally, when narrative and visuals are combined, they enlighten an audience.
When the right visuals and narrative are combined with the right data, you have a
data story that can motivate and in uence change.
ood stories do not arise from data alone they must be uncovered through data relationships. A closer look reveals ho
each data point links to the other. The following are some simple steps that can help you create engaging data stories:
1. Include relevant context
2. Include authentic data
3. Add in compelling visuals
. amine the relationships in the data pinpoint the significant data
. se a simple narrative surrounded by con ict.
No matter how great an analysis or how high-quality the data is, unless the people involved understand what is
communicated through a story, it will not compel change.
Stories that combine statistics and analytics are more persuasive than ones that are only based on anecdotes or
personal experiences.
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