Understanding Variables - clarity on data

To understand the variable type is very much important in all the statistical analysis. Given below is the classification table on the statistical variables.

Description

Variables:
Quantitative variables: Variables containing numerical responses. Eg. Temperature, Age, Monthly Income etc.

Qualitative variables: Variables containing numerice or alphanumeric responses. Based on the responses, the data can be categorised. Hence it is also called as Categorical variable. Eg. Gender, Employee id, Department, Favorite colour etc.

Continuous variables: Variables containing numeric responses with decimal point. Eg. Temperature, Marks, Cost of products etc.

Discrete variables: Variables containing numeric responses as integers i.e. without decimal point. Eg. Age, Number of defects, Number of products purchased or sold.

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