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Merge pull request #1628 from influxdata/holt-winters 

Clarify `m` is minutes and `mo` is months
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kelseiv 2020-10-08 11:01:44 -07:00 committed by GitHub
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content/influxdb/v2.0/reference/flux/stdlib/built-in/transformations/holtwinters.md
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@ -33,13 +33,12 @@ holtWinters(
The Holt-Winters method predicts [`n`](#n) seasonally-adjusted values for the The Holt-Winters method predicts [`n`](#n) seasonally-adjusted values for the
specified [`column`](#column) at the specified [`interval`](#interval). specified [`column`](#column) at the specified [`interval`](#interval).
For example, if `interval` is `6m` and `n` is `3`, results include three predicted For example, if `interval` is six minutes (`6m`) and `n` is `3`, results include three predicted
values six minutes apart. values six minutes apart.
#### Seasonality #### Seasonality
[`seasonality`](#seasonality) delimits the length of a seasonal pattern according to `interval`. [`seasonality`](#seasonality) delimits the length of a seasonal pattern according to `interval`.
If your `interval` is `2m` and `seasonality` is `4`, then the seasonal pattern occurs every If your `interval` is two minutes (`2m`) and `seasonality` is `4`, then the seasonal pattern occurs every eight minutes or every four data points. Likewise, if your `interval` is two months (`2mo`) and `seasonality` is `4`, then the seasonal pattern occurs every eight months or every four data points.
eight minutes or every four data points.
If data doesn't have a seasonal pattern, set `seasonality` to `0`. If data doesn't have a seasonal pattern, set `seasonality` to `0`.
#### Space values evenly in time #### Space values evenly in time