categorical variable vs continuous variable


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  • What is the difference between quantitative and categorical variables?

    Quantitative variables can be classified as discrete or continuous. Categorical variables contain a finite number of categories or distinct groups. Categorical data might not have a logical order. For example, categorical predictors include gender, material type, and payment method.

  • What is an example of a continuous variable?

    For example, the number of customer complaints or the number of flaws or defects. Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time. For example, the length of a part or the date and time a payment is received.

  • What is the difference between continuous data and categorical data?

    The most important difference between the terms is that “continuous data” describes the type of information collected or entered into study. In contrast, “categorical data” describes a way of sorting and presenting the information in the report. Categorical vs Continuous Data: Who would use Categorical and Continuous Data?

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