# In lens breakdown, the "others" is not an accumulated value

**URL:** <https://discuss.elastic.co/t/in-lens-breakdown-the-others-is-not-an-accumulated-value/360162>\
**Category:** Kibana\
**Tags:** lens\
**Created:** [May 24, 2024, 1:19pm UTC](https://discuss.elastic.co/t/in-lens-breakdown-the-others-is-not-an-accumulated-value/360162 "2024-05-24T13:19:10Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![mekanix](https://avatars.discourse-cdn.com/v4/letter/m/9de0a6/32.png) [@mekanix](https://discuss.elastic.co/u/mekanix)\
**Post date:** [May 24, 2024, 1:19pm UTC](https://discuss.elastic.co/t/in-lens-breakdown-the-others-is-not-an-accumulated-value/360162/1 "2024-05-24T13:19:10Z")

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Setup: set of servers that sends filesystem metrics with metricbeat.

I'm creating a stacked area visualization in lens with @timestamp on horizontal axis and formula "Maximum" of `system.filesystem.used.bytes`.

I then break the data down by `hostname` on `top values`, grouping the remaining values in "Other".

When I then increase "Number of values" I can observe that the stacked area increase as well.

To my eyes it looks like "Other" != "Remaining value_S_" but rather the next maximum or "average of all remaing values" if you chose "Average" instead of "Maximum". Aka the values in the "Other" category is not broken down by the defined field?

Is that correct? And then what is the purpose of "Other"?

- Bjarne

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**Author:** ![Marco\_Liberati](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/marco_liberati/32/82953_2.png) [@Marco\_Liberati](https://discuss.elastic.co/u/Marco_Liberati)\
**Post date:** [May 24, 2024, 1:46pm UTC](https://discuss.elastic.co/t/in-lens-breakdown-the-others-is-not-an-accumulated-value/360162/2 "2024-05-24T13:46:34Z")

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Hi @mekanix ,

> Aka the values in the "Other" category is not broken down by the defined field?

Exactly.  
`Other` means that all the remaining `hostname` are put into a single bucket and the `Maximum` is computed over the entire group.

The main purpose of `Other` is to not lose the relationship of the picked values vs the remaining set as a whole. While this can be very useful in partition charts or for operations like `Average` it can be confusing in some specific scenarios.