Types of Data

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What is a Numeric Data Type?

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A Numeric Data Type represents data that is quantifiable and can be measured, such as age, height, or weight.

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What is a Categorical Data Type?

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A Categorical Data Type represents data that can be divided into distinct categories or groups, such as colors, names, or grades.

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What is an Ordinal Data Type?

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An Ordinal Data Type is a categorical data type where the categories have a meaningful order or ranking, such as 'low', 'medium', 'high'.

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What is a Qualitative Data Type?

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Qualitative Data Type refers to descriptive data that can be observed but not measured, often using adjectives, such as 'happy', 'blue', or 'tall'.

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What is a Quantitative Data Type?

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Quantitative Data Type refers to data that can be counted or measured, typically represented by numbers.

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Example of Numeric Data Type?

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Age (e.g., 15 years old), height (e.g., 160 cm).

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Example of Categorical Data Type?

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Favorite color (e.g., red, blue, green).

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Example of Ordinal Data Type?

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Survey responses like 'strongly agree', 'agree', 'disagree', 'strongly disagree'.

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Example of Qualitative Data Type?

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Descriptions of a sunset (e.g., 'beautiful', 'vibrant', 'calm').

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Example of Quantitative Data Type?

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Number of students in a class (e.g., 30 students).