Difference between attribute and variable data

While attribute sampling means that the result could be either conforms or does not conform and it checks whether an item is defective or not, variable sampling is when the result is rated on a continuous scale.

An attribute variable could be a variable that is a fixed attribute like sex, race, or gender ; These variables cannot be changed or manipulated by the researcher as they are an inherent part of a person or object.

Variables control charts plot continuous measurement process data, such as length or pressure, in a time-ordered sequence. In contrast, attribute control charts plot count data, such as the number of defects or defective units.

Attribute data focuses on numbers, variable data focuses on measurements . For example, suppose you’re gathering data on defective products that your assembly line turns out. Attribute data simply classifies the output as defective or not defective.

Variables are the characteristics which can be measured and expressed in quantitative or numerical terms. Attributes are the characteristics which are qualitative in nature and cannot be measured in numerical terms.

An attribute behaves just like a variable in that it can reference any object without having to be declared as a specific type . Attributes are untyped. Now we have an example custom object, it is possible to demonstrate the idea that variables store references to objects.

Attribute is metadata of a program objects, while variable is a program object. So in general i`d say there`s nothing common between a var and attr. Attribute may describe some properties of a variable. On the other hand sometimes object`s variables may be called attributes.