The are of storytelling :
Humans are wired for story
- Storytelling
1. Fictional stories produce and neutralize anxiety
2. Our survival depends on it
Data storytelling is essential, except when it isn't
- When in doubt, tell stories.
Using story even when you don't
The KWYs
- KWYRWTS = Know What You Really Want To Say
- KWYDIS = Know What Your Data Is Saying
- KWYANTH = Know What Your Audience Needs To Hear
Story Components :
- To tell a story, you have to define "story".
Find the story in your data
- Goal : Learn to tease out stories from data
- What questions will I ask to these data?
Outline your story :
- Come up with a story that communicates your data
- All of your story components may not be obvious at this stage
Use your words :
- Story Components
1. Logical
2. Linear flow
3. Figure out next level of details
Sketching ideas : Sketching is about trial and error.
- Use your hand!!!
Change over time :
Linear logic : Begin --> End
- Every story is linear.
Flow diagrams
Compare and contrast :
- We may be the key character in our story
- Compare and contrast is a common data story mechanism
Progressive depth
- Simple doesn't mean simplistic.
Personalization
- Make your data story their data story.
- Personalization is a powerful tool.
Text
Label : Label appropriately
- Labels provide context and clarity
Eye Candy = Interesting and Informative
- Has to be functional
- Eye Candy is important
Repetition and Redundancy
- Types of Redundancy
1. Message
2. Data
3. Visual cue
- Repeat your message, repeat your data, repeat your visuals
Relatability
- Spend time making your data understandable, relatable, and impactful.
Don't be afraid of complexity
- Less is always better
- Convey complex stories with simple elements.
- Feb 17 Wed 2021 08:57
[Data Visualization] Storytelling
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