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  • DSRP
    • Distinctions
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    • Perspectives
  • Move Mash Up
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  • More
    • Home
    • Systems Thinking Primer
    • Intro
    • The 5 Moves
      • Is/Is Not List
      • Zoom In Zoom Out
      • Parts Party
      • Barbell (RDS)
      • Perspective Circle
    • DSRP
      • Distinctions
      • Systems
      • Relationships
      • Perspectives
    • Move Mash Up
    • About
    • Contact

  • Home
  • Systems Thinking Primer
  • Intro
  • The 5 Moves
    • Is/Is Not List
    • Zoom In Zoom Out
    • Parts Party
    • Barbell (RDS)
    • Perspective Circle
  • DSRP
    • Distinctions
    • Systems
    • Relationships
    • Perspectives
  • Move Mash Up
  • About
  • Contact

Distinctions & Data Analysis

Applications

  • Primary keys - need distinct values
  • Types of Analysis: descriptive / predictive / prescriptive
  • Data types: labeled / unlabeled
  • Data structure: structured / unstructured / semi-structured
  • Data project scope definition and gathering requirements
  • Include / exclude data (filters)

Mushroom Nibble

How could you apply Distinctions to data analysis?


  • What are you including in your dataset? 
  • What are you excluding intentionally or otherwise?
  • Would these exclusions contribute to biases in your analysis?
  • What Distinctions can you make to define the scope or impact of your analysis?

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