Data Types / Metadata

Question 1

Continuous Data:

Answer 1

• 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.

Question 2

Discrete Data:

Answer 2

• 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.

Question 3

Integer Data:

Answer 3

• Definition: Integer data includes whole numbers without decimal points. It is commonly used for counting.
  
  • Example: Number of employees, customer IDs.

Question 4

Boolean Data:

Answer 4

• 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)

Question 5

Float Data:

Answer 5

• 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.

Question 6

String Data:

Answer 6

• Definition: String data consists of text or characters. It is used for representing non-numeric information.
  
  • Example: Names, addresses, product descriptions.

Question 7

Date/Time Data:

Answer 7

• Definition: Date/Time data represents temporal information, including dates and timestamps.
  
  • Example: Order date, event time.

Question 8

Smallint Data:

Answer 8

• Definition: Smallint is a small-sized integer data type with a limited range.
  
  • Example: Limited-range integer values, such as a count of items.