Data Types

  • Qualitative (Categorical)
    • Nominal - Data that consists of names, labels, or categories only (it doesn't have a natural order). The entry itself is the data.
      • Ex. Hair Color, Model of a car
    • Ordinal - Data that has a natural order.
      • Ex. Education Level, Year of manufacture (of a car)
  • Quantitative (Numerical with a mathematical context)
    • Discrete - assumes that the values can be counted.
      • Ex. Hair, Grains of sand, Number of people with blue eyes
    • Continuous - assumes values that are uncountable. Typically can take on all values on an interval.
      • Ex. Mileage on a car (can't measure with infinite accuracy)