Ogrupplade

Ogrupplade refers to data that have not been organized into groups, intervals, or categories. In statistics, such data consist of individual observations recorded in their original form, rather than being summarized in frequency tables or histograms. The term is used to distinguish raw data from grouped or binned data, where observations are placed into a finite number of categories or intervals.

Ogrupplade data preserve every measurement or category label, which makes them ideal for analyses that require exact values or for exploratory data examination. They can be numerical (continuous or discrete) or categorical (nominal or ordinal); even when data are ordered, there is no imposed aggregation.

Common representations of ungrouped data include dot plots and stem-and-leaf plots, which display each observation, or simple lists. If a distribution description is needed, researchers may compute descriptive statistics directly from the data set (mean, median, range, standard deviation) rather than rely on a grouped frequency distribution. For larger data sets, grouping can simplify presentation and computation, but it also loses information about individual values including outliers.

Advantages of using ungrouped data include the retention of exact values and the ability to re-bin data later without losing original information. Limitations include potential unwieldiness for large samples and the difficulty of recognizing overall patterns without further summarization.

See also: Grouped data; Descriptive statistics; Frequency distribution; Data visualization.