Calculate a weekly mean
This example uses NOAA water sample data.
This example calculates a temperature weekly mean and stores it in a separate bucket.
The sample query performs the following operations:
- Uses
filter()
to select records with theaverage_temperature
measurement. - Uses
range()
to define the start time. - Uses
aggregateWindow()
to group records by week and compute the mean. - Sends the weekly mean to a new bucket (
weekly_means
).
option task = {
name: "weekly-means",
every: 1w,
}
from(bucket: "noaa")
|> filter(fn: (r) => r._measurement == "average_temperature")
|> range(start: 2019-09-01T11:24:00Z)
|> aggregateWindow(every: 1w, fn: mean)
|> to(bucket: "weekly_means")
Example results
_start | _stop | _field | _measurement | location | _value | _time |
---|---|---|---|---|---|---|
2019-09-01T11:24:00Z | 2020-10-19T20:39:49Z | degrees | average_temperature | coyote_creek | 80.31005917159763 | 2019-09-05T00:00:00Z |
2019-09-01T11:24:00Z | 2020-10-19T20:39:49Z | degrees | average_temperature | coyote_creek | 79.8422619047619 | 2019-09-12T00:00:00Z |
2019-09-01T11:24:00Z | 2020-10-19T20:39:49Z | degrees | average_temperature | coyote_creek | 79.82710622710623 | 2019-09-19T00:00:00Z |
_start | _stop | _field | _measurement | location | _value | _time |
---|---|---|---|---|---|---|
2019-09-01T11:24:00Z | 2020-10-19T20:39:49Z | degrees | average_temperature | santa_monica | 80.19952494061758 | 2019-09-05T00:00:00Z |
2019-09-01T11:24:00Z | 2020-10-19T20:39:49Z | degrees | average_temperature | santa_monica | 80.01964285714286 | 2019-09-12T00:00:00Z |
2019-09-01T11:24:00Z | 2020-10-19T20:39:49Z | degrees | average_temperature | santa_monica | 80.20451 |
Was this page helpful?
Thank you for your feedback!
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, use the following resources:
Customers with an annual or support contract can contact InfluxData Support.