# Yearly averages?

**URL:** <https://forum.sensor.community/t/yearly-averages/436>\
**Category:** FAQ\
**Created:** [March 18, 2021, 10:45am UTC](https://forum.sensor.community/t/yearly-averages/436 "2021-03-18T10:45:44Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![gendor](https://forum.sensor.community/user_avatar/forum.sensor.community/gendor/32/268_2.png) [@gendor](https://forum.sensor.community/u/gendor)\
**Post date:** [March 18, 2021, 10:45am UTC](https://forum.sensor.community/t/yearly-averages/436/1 "2021-03-18T10:45:44Z")

</div>

Is it possible to determine the yearly average/mean of the sensors? I’ve been looking at the Grafana graphs on [madavi.de](http://madavi.de) but can’t seem to figure it out.

---

<div class="post-metadata">

**Author:** ![pjg](https://forum.sensor.community/user_avatar/forum.sensor.community/pjg/32/194_2.png) [@pjg](https://forum.sensor.community/u/pjg)\
**Post date:** [March 18, 2021, 12:28pm UTC](https://forum.sensor.community/t/yearly-averages/436/2 "2021-03-18T12:28:44Z")

</div>

Just use:

[http://archive.sensor.community/](http://archive.sensor.community/)

What kind of mean do you need ? For just 1 sensor ?

---

<div class="post-metadata">

**Author:** ![gendor](https://forum.sensor.community/user_avatar/forum.sensor.community/gendor/32/268_2.png) [@gendor](https://forum.sensor.community/u/gendor)\
**Post date:** [March 18, 2021, 1:22pm UTC](https://forum.sensor.community/t/yearly-averages/436/3 "2021-03-18T13:22:05Z")

</div>

Yes, just the yearly mean for one sensor. Are you saying I should download the daily .csv’s for that sensor from archive.sensor.community and calculate it myself?

---

<div class="post-metadata">

**Author:** ![pjg](https://forum.sensor.community/user_avatar/forum.sensor.community/pjg/32/194_2.png) [@pjg](https://forum.sensor.community/u/pjg)\
**Post date:** [March 18, 2021, 9:12pm UTC](https://forum.sensor.community/t/yearly-averages/436/4 "2021-03-18T21:12:31Z")

</div>

Yes! But you can use a script. And there are some monthly csv.
