DATA & ITS CLASSIFICATION

  • DATA

    • Definition:
      Data refers to raw facts, figures, observations, or measurements collected for analysis to gain information or draw conclusions.


    TYPES OF DATA

    1. Quantitative Data

      • Represents numerical values that can be measured or counted.

      • Examples: Height, weight, blood pressure, number of patients.

      • Can be further divided into:

        • Discrete Data:

          • Consists of distinct, separate values that can be counted.

          • Usually whole numbers with no intermediate values.

          • Examples: Number of children, number of hospital visits.

        • Continuous Data:

          • Can take any value within a range and can be measured.

          • Examples: Temperature, time, weight.

    2. Qualitative Data (Categorical Data)

      • Represents characteristics, attributes, or categories that describe qualities or features.

      • Cannot be measured numerically but can be classified into groups.

      • Examples: Gender (male/female), blood group (A, B, AB, O), disease status (present/absent).


    SUMMARY OF CLASSIFICATION

    Type                         Nature                        Examples                                                  Subtypes
    Quantitative Numerical Age, weight, blood pressure Discrete, Continuous
    Qualitative Non-numerical Gender, blood group, symptoms Nominal, Ordinal (if ranked)