# Types of Data

## 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). 