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Data Storytelling (DS pipeline (a key skill: (the ability to communicate…

- - - - to share facts
        
        in the form that listeners understand, appreciates & remember the story best
- - - - only half of the story
    - - makes sense of data,
        but rarely generates insights that stimulate actions
      - terrific tools to use when telling the data story because they provide credibility and give weight to points being made in the story
  - - - ideas to display qualitative data
        
        infographic
        
        a great way to convey qualitative information on data
        
        photos besides participant's responses
        
        showcase open-ended survey data besides close-ended data
      - information about qualities; can't actually be measured
      - also
        
        represented through pictures that explore data in visual way
        
        focus on visualizing themes of data
        
        can tell a story
        
        like quantitative,
        can be displayed graphically e.g. bar chart, pie chart. it's tricky
    - - information about quantities; that is, information that can be measured & written down with numbers
      - also
        
        focuses on numbers
        
        can be displayed through graphs, charts, tables
        
        displayed over time e.g. line chart
  - - - among items
        
        bar chart
      - over time
        
        circular area chart
        
        line chart
    - - bar histogram
      - scatter plot
      - line histogram
    - - changing over time
        
        stacked area chart
        
        stacked bar chart
      - static
        
        pie chart
        
        tree map
    - - scatter plot
- - - - "Drop-in-the-bucket" effect
        
        Focusing on statistics halt emotional responses to the issue of the story - it shifts to an analytical mind
        
        when people think analytically, it hinders them to act compassionately
        
        people get overwhelm when the scale of the problem is too big
- - - - tailored to a specific audience
        
        to convey
        
        credibility in the analytical approach
        
        confidence in the results
        
        a compelling set of insights that is actionable to the audience
    - - for communicating data insights
        
        involving 3 key elements
        
        data
        
        visuals
        
        narratives
- - - - set up story, what will audience learn?
    - - something useful to learn
    - - people remember stories not data
    - - understand better with visuals, graphics
      - add voice to data
    - - don't sugarcoat negatives
    - - remove unnecessary part of the story
    - - what are audience's interest? e.g. details vs. high-level
    - - compare metrics to industry benchmark
- - - - it helps to explain to your audience
        
        what's happening in data
        
        why a particular insight is important
      - ample context & commentary is often needed to fully appreciate an insight
    - - can enlighten audience to insights
        
        that are not easily seen without graphs
        
        many interesting patterns and outliers in data hidden if not visualized
    - - can engage or even entertain audience