Data Types / Metadata Flashcards
1
Q
Continuous Data:
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Definition: Continuous data can take any value within a given range. It is often measured and can have an infinite number of possible values.
- Example: Temperature readings, height measurements.
2
Q
Discrete Data:
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Definition: Discrete data consists of distinct, separate values. It often involves counting and is finite.
- Example: Number of students in a class, quantity of products sold.
3
Q
Integer Data:
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Definition: Integer data includes whole numbers without decimal points. It is commonly used for counting.
- Example: Number of employees, customer IDs.
4
Q
Boolean Data:
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Definition: Boolean data is binary, with only two possible values: True or False. It’s often used for logical conditions.
- Example: Is a product in stock? (True/False)
5
Q
Float Data:
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Definition: Float data represents numeric values with decimal points. It allows for a broader range of values compared to integers.
- Example: Price of a product, GPA scores.
6
Q
String Data:
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Definition: String data consists of text or characters. It is used for representing non-numeric information.
- Example: Names, addresses, product descriptions.
7
Q
Date/Time Data:
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Definition: Date/Time data represents temporal information, including dates and timestamps.
- Example: Order date, event time.
8
Q
Smallint Data:
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Definition: Smallint is a small-sized integer data type with a limited range.
- Example: Limited-range integer values, such as a count of items.