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The are of storytelling :
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Humans are wired for story
  - Storytelling
    1. Fictional stories produce and neutralize anxiety
    2. Our survival depends on it
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Data storytelling is essential, except when it isn't
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  - When in doubt, tell stories.

Using story even when you don't 
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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
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Story Components :
  - To tell a story, you have to define "story".
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Find the story in your data
  - Goal : Learn to tease out stories from data
    - What questions will I ask to these data?
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Outline your story :
  - Come up with a story that communicates your data
  - All of your story components may not be obvious at this stage
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Use your words :
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  - 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!!!
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Change over time :
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Linear logic : Begin --> End
  - Every story is linear.

Flow diagrams
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Compare and contrast :
  - We may be the key character in our story
  - Compare and contrast is a common data story mechanism
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Progressive depth
  - Simple doesn't mean simplistic.

Personalization
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  - Make your data story their data story.
  - Personalization is a powerful tool.

Text 

Label : Label appropriately
  - Labels provide context and clarity
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Eye Candy = Interesting and Informative
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  - Has to be functional
  - Eye Candy is important
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Repetition and Redundancy
  - Types of Redundancy
    1. Message
    2. Data
    3. Visual cue
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  - Repeat your message, repeat your data, repeat your visuals

Relatability
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  - 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.

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