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)