countedper

Countedper is a term used in data analytics and reporting to denote the count of events, items, or observations normalized by a specified denominator. Unlike raw counts, countedper expresses occurrences per unit, per group, or per time interval, enabling comparisons across heterogeneous datasets.

Formal usage varies by implementation, but the core idea is countedper = total_count divided by denominator. The denominator is chosen to reflect the desired unit of comparison, such as the number of customers, days in a period, or items in a category. The result is a rate-like metric, but not always a probability or a rate in the strict statistical sense.

Origin and reception: countedper is not a standard statistical term, but it appears in some business intelligence tools and custom analytics pipelines as a lightweight normalization operation. It is distinct from conventional rates or per-capita metrics in that the denominator can be any defined unit and may vary by report, leading to potential inconsistencies if not carefully documented.

Example: If a store records 1,200 transactions over 60 customers in a day, countedper(customer) would be 1,200 / 60 = 20 transactions per customer for that day. Another example: 5,000 events over 25 days yields countedper(day) = 200 events per day. Caveats include sensitivity to small denominators, aggregation level, and missing data.

Related concepts include rate, density, per-capita metrics, and normalization.