Types
The 12 measure types available for aggregating data.
Overview
There are 12 measure types that determine how values are aggregated. Choose the right type based on your analytical needs.
Measure Types
count
Counts the number of rows.
- name: count
type: countcount_distinct
Counts unique values of a column.
- name: unique_users
type: count_distinct
sql: user_idcount_distinct_approx
Approximate count distinct (faster for large datasets).
- name: approx_unique_users
type: count_distinct_approx
sql: user_idsum
Adds up numeric values.
- name: total_revenue
type: sum
sql: amountavg
Calculates the average of numeric values.
- name: average_order_value
type: avg
sql: amountmin
Returns the minimum value.
- name: first_order_date
type: min
sql: created_atmax
Returns the maximum value.
- name: last_order_date
type: max
sql: created_atnumber
A calculated number (not aggregated from rows).
- name: conversion_rate
type: number
sql: "\{completed_orders\} / NULLIF(\{total_orders\}, 0)"string
A calculated string value.
- name: status_label
type: string
sql: "'Active'"time
A calculated time value.
- name: current_timestamp
type: time
sql: NOW()boolean
A calculated boolean value.
- name: has_orders
type: boolean
sql: "\{count\} > 0"number_agg
Custom aggregate function (advanced).
- name: median_price
type: number_agg
sql: "PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY \{CUBE\}.price)"See Also
- cubes.measures
- cubes.measures.calculated
- cubes.measures.filters