Ordinal data
data in which the values follow a natural order, There is no fixed origin or zero point. An example would be ranking systems like “strongly agree, agree, neutral, disagree and strongly disagree”.
Nominal data
type of data that is used to label variables without providing quantitative value. Examples could include hair colour, nationality, religion
Discrete data
Nondivisible values. The numbers represent exact values and there are no numbers typically between values. Examples would include ticket sales, the number of students attending school on a particular day,
Continuous data
ype of numerical data that refers to the unspecified number of possible measurements between two realistic points. These data points are often collected from precise measurements. Continuous data is all about accuracy.