Moving Average

User interface

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Technical documentation

Packages Steps Designing a new step Known limitations Variables Custom code editor Python package

Compute Moving Average

Use this step to compute a moving average based on a value column, a reference column to sort (usually a date column) and a moving window (in number of rows). If needed, the computation can be performed by group of rows. The computation result is added in a new column.

This step is supported by the following backends:

Mongo 5.0
Mongo 4.2
Mongo 4.0
Mongo 3.6

Where to find this step?

Widget Compute
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Options reference

Value column:: the value column used as the basis for the moving average computation
Reference column to sort (usually dates): the column used to sort rows
Moving window (in number of rows): the number of rows included in the moving window
Group by (optional): if you want perform the computation by group of rows (see example 2 below)
New column name (optional): if you want to specify a custom column name (by default, it will be your original value column name suffixed with “_MOVING_AVG”)

Example 1: Basic usage

This configuration results in:

Example 2: with “group by” logic and custom new column

This configuration results in: