Discrete and Continuous Data

Data can be Descriptive (like "high" or "fast") or Numerical (numbers).

And Numerical Data can be Discrete or Continuous:

Discrete data is counted, Continuous data is measured

Discrete Data

Discrete Data can only take certain values.

Example: the number of students in a class (you can't have half a student).

Continuous Data is data that can take any value (within a range)

Examples:

A person's height: could be any value (within the range of human heights), not just certain fixed heights,
Time in a race: you could even measure it to fractions of a second,
A dog's weight,
The length of a leaf,
Lots more!