experimental.mode() function

The experimental.mode() function computes the mode or value that occurs most often in the _value column in each input table.

Function type: Aggregate

import "experimental"

experimental.mode()

If there are multiple modes, it returns all of them in a sorted table. Mode only considers non-null values. If there is no mode, experimental.mode() returns null.

Supported data types

• String
• Float
• Integer
• UInteger
• Boolean
• Time

Examples

Return the mode of windowed data

import "experimental"

from(bucket: "example-bucket")
  |> filter(fn: (r) =>
    r._measurement == "example-measurement" and
    r._field == "example-field"
  )
  |> range(start:-12h)
  |> window(every:10m)
  |> experimental.mode()