# Calculate the moving average

Use the `movingAverage()` or `timedMovingAverage()` functions to return the moving average of data.

``````data
|> movingAverage(n: 5)

// OR

data
|> timedMovingAverage(every: 5m, period: 10m)
``````

### movingAverage()

For each row in a table, `movingAverage()` returns the average of the current value and previous values where `n` is the total number of values used to calculate the average.

If `n = 3`:

Row #Calculation
1Insufficient number of rows
2Insufficient number of rows
3(Row1 + Row2 + Row3) / 3
4(Row2 + Row3 + Row4) / 3
5(Row3 + Row4 + Row5) / 3

Given the following input:

_time_value
2020-01-01T00:01:00Z1.0
2020-01-01T00:02:00Z1.2
2020-01-01T00:03:00Z1.8
2020-01-01T00:04:00Z0.9
2020-01-01T00:05:00Z1.4
2020-01-01T00:06:00Z2.0

The following would return:

``````|> movingAverage(n: 3)
``````
_time_value
2020-01-01T00:03:00Z1.33
2020-01-01T00:04:00Z1.30
2020-01-01T00:05:00Z1.36
2020-01-01T00:06:00Z1.43

### timedMovingAverage()

For each row in a table, `timedMovingAverage()` returns the average of the current value and all row values in the previous `period` (duration). It returns moving averages at a frequency defined by the `every` parameter.

Each color in the diagram below represents a period of time used to calculate an average and the time a point representing the average is returned. If `every = 30m` and `period = 1h`:

Given the following input:

_time_value
2020-01-01T00:00:00Z1.0
2020-01-01T00:30:00Z1.2
2020-01-01T01:00:00Z1.8
2020-01-01T01:30:00Z0.9
2020-01-01T02:00:00Z1.4
2020-01-01T02:30:00Z2.0
2020-01-01T03:00:00Z1.9

The following would return:

``````|> timedMovingAverage(
every: 30m,
period: 1h
)
``````
_time_value
2020-01-01T00:30:00Z1.0
2020-01-01T01:00:00Z1.1
2020-01-01T01:30:00Z1.5
2020-01-01T02:00:00Z1.35
2020-01-01T02:30:00Z1.15
2020-01-01T03:00:00Z1.7
2020-01-01T03:00:00Z2

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