# Types of Data

There are different types of data.

# Qualitative and Quantitative Data

The main distinction is between qualitative (words) and quantitative (numbers) data.
• Qualitative data is described in words. For example:
• Names ("Steven", "Victoria", "Hema").
• Colors ("Red", "Blue", "Yellow").
• Gender ("Male", "Female").

• Quantitative data is described in numbers. For example:
• Ages (13, 31, 55).
• Incomes (£25,000, \$70,000, €45,750).
• Lengths (155 cm, 6 feet, 15 inches).

# Types of Quantitative Data: Discrete and Continuous

There are also two types of quantitative data: discrete and continuous data.
• Discrete data can only take certain values, like whole numbers. Discrete data is counted. For example:
• Ages (13, 31, 55).
• Test scores (8, 10, 5).
• Number of pets (0, 2, 4).

• Continuous data can take any value (within a range). Continuous data is measured. For example:
• Lengths (155 cm, 6 feet, 15 inches).
• Times (5 seconds, 2¾ minutes, 1½ hours).
• Lengths (155 cm, 6 feet, 15 inches).

# More About Types of Data

##### Interactive Test
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Here's a second test on types of data.
Here's a third test on types of data.

# What Is Data?

Data is a set of facts (such as numbers, measurements or words) that have been collected or measured.

Data can be reported, visualized and analyzed to help us learn and make decisions.

# Datum and Data

A single value is called a datum. For instance, a single test score would be a datum.

When there are more than one value, it is data. Data is plural. The test scores of a class are data.

Data also means the entire set of values, so it is still correct to say "the data is".

# What's in a Name?

Data comes from the Latin word 'datum', meaning a 'thing that is given'. It is the past form of 'dare', which means 'to give'.

This is because when we collect facts, they are already given to us. A students test score or a persons height are not something we create, they are already there. They can be counted or measured to be used as data.