Differences between Qualitative and Quantitative Data
Data — the information used in statistics — can be either qualitative or quantitative. Qualitative data divides a data set (the pool of data that you’ve gathered) into discrete chunks based on a specific attribute. For example, in a class of students, qualitative data can include

Each child’s gender

His or her favorite color

Whether he or she owns at least one pet

How he or she gets to and from school
You can identify qualitative data by noticing that it links an attribute — that is, a quality — to each member of the data set. For example, four attributes of Emma are that she’s female, her favorite color is green, she owns a dog, and she walks to school.
On the other hand, quantitative data provides numerical information — that is, information about quantities, or amounts. For example, quantitative data on this same classroom of students can include the following:

Each child’s height in inches

Each child’s weight in pounds

The number of siblings each child has

The number of words each child spelled correctly on the most recent spelling test
You can identify quantitative data by noticing that it links a number to each member of the data set. For example, Carlos is 55 inches tall, weighs 68 pounds, has three siblings, and spelled 18 words correctly.