[데이터사이언스] Data의 Attributes의 types(Norminal/Binary/Ordinal/Numeric)

1. Norminal

• categories without order
• categories,states,or "name of things"
• Hair_color={black,brown,blond,grey}
• martial status, occupation(직업) ,ID numbers(순서가 없는),zip codes,nationality

2.Binary

• Nominal attribute with only 2 states(0 and 1)
• Symmetric binary: both outcomes equally inportant
  • ex) gender

• Asymmetric binary:outcomes not equally important
  • ex) medical test(positive,negative)

3. Ordinal

• Values have a meaningful order(ranking)
• but magnitude between successive values is not known
• Size={small,medium,large},grades,army rankings

4. Numeric

• Quantity (integer or real-valued 정수나 실수)
•  Interval-scaled
  • Measured o a scale of equal-sized unites
  • Values have order
  • Difference is meaningful
    • ex) temperature in C' or F', calendar dates
  • No true zero-point (몇배차이난다 불가능)
• Ratio-scaled
  • Inherent zero-point
  • Both difference and ratio are meaningful
    • 10 k ' is twice as high as k'
    • ex) temperature in Kelvin, length, weight ,counts , monetary quantities,age