Data Storytelling Fundamentals

 The whole point of telling a good data story is to persuade your audience or stakeholders about your findings and the solutions you have to offer after analyzing the data.

There are three main metrics that tell us how persuasive our story is:
1) How well explained the story is.
2) Whether the story enlightens the audience.
3) Whether the story engages the audience.

Also a data story consists of three elements :
1) Data
2) Visuals
3) Narrative

Note :
1) Data and narrative help to explain the situation.
2) Data and visualization help to enlighten our audience
3) Narrative and visualization help to engage our audience

In a nutshell :

Data Story = Data + Visuals + Narrative

Data + Narrative = Explanation

Data + Visualization = Enlighten 

Narrative + Visualization = Engagement

Data visualization considerations :
1) Choose the appropriate chart (eg : bar chart for categorical data, line chart for numeric data)
2) Focus on what's relevant
3) Choose the right colors

Creating a good narrative (Freytag's pyramid):

Exposition/Set up : Start with a hook. ( Is there a sudden change? Are we missing an opportunity? What should we expect going forward?)
The idea is to establish the theme of the story.

Build up : Explain investigation steps. And communicate intermediate findings, and describe analysis.

Climax : Explain the root cause for the hook from the key finding.

Key finding : The insight that has the greatest explanatory power.

Conclusion : Identify courses of action to remedy the issue. Also discuss the cause of the issue.