Aggregoitunut

Aggregoitunut is a Finnish adjective describing data, results or measurements that have been consolidated from multiple records or sources into a summary form. It contrasts with raw data and individual observations. Aggregation typically groups data by one or more dimensions (such as time, geography, or product) and applies an aggregation function (for example, sum, average, count, min, or max) to each group. The resulting dataset is smaller and easier to analyze for trends and comparisons, and it can help protect privacy by removing individual-level detail.

In practice, aggregoitunut data appears in reports and dashboards, for example aggregated results by month or aggregated population figures by region. It is common in statistics, business intelligence, data warehousing and research contexts. The term can describe a single metric or a set of metrics that have been summarized, such as an aggregated score or an average revenue per region.

Important considerations include the choice of aggregation level and function, which influence the visibility of variation and outliers. Aggregating can obscure heterogeneity present in raw data and may lead to misinterpretation if used inappropriately, a risk sometimes described as ecological fallacy. Therefore it is important to document the aggregation logic and level of detail used.

See also: aggregointi, aggregated data, roll-up, drill-down.