measuresindividual
Measuresindividual is a term used in statistics and data science to describe quantitative attributes that are measured at the level of an individual unit, such as a person, household, or organization. The concept emphasizes granularity and micro-level analysis, in contrast to aggregate measures that summarize data over groups or areas.
Examples of measuresindividual include height, weight, age, income, blood pressure, test scores, and individual energy consumption.
The use of measuresindividual supports analytical techniques such as multilevel modeling, regression with individual-level data, and
Related concepts include the unit of analysis, microdata, and ecological inference. Measuresindividual is commonly contrasted with