---
title: InfluxQL selector functions
description: Use InfluxQL selector functions to select specific points from your time series data.
url: https://docs.influxdata.com/influxdb3/clustered/reference/influxql/functions/selectors/
estimated_tokens: 6158
publisher: InfluxData
canonical: https://docs.influxdata.com/influxdb3/clustered/reference/influxql/functions/selectors/
date: '2025-01-13T07:21:11-07:00'
lastmod: '2025-01-13T07:21:11-07:00'
---

Use selector functions to assess, select, and return values in your data.
Selector functions return one or more rows with the selected values from each
InfluxQL group.

*Examples use the sample data set provided in the[Get started with InfluxDB tutorial](/influxdb3/clustered/get-started/write/#construct-line-protocol).*

* [BOTTOM()](#bottom)
* [FIRST()](#first)
* [LAST()](#last)
* [MAX()](#max)
* [MIN()](#min)
* [PERCENTILE()](#percentile)
* [TOP()](#top)
* [Notable behaviors of selector functions](#notable-behaviors-of-selector-functions)

#### Missing InfluxQL functions

Some InfluxQL functions are in the process of being rearchitected to work with
the InfluxDB 3 storage engine. If a function you need is not here, check the[InfluxQL feature support page](/influxdb3/clustered/reference/influxql/feature-support/#function-support)for more information.

## BOTTOM()

Returns the smallest `N` [field values](/influxdb3/clustered/reference/glossary/#field-value).`BOTTOM()` supports int64 and float64 field value [data types](/influxdb3/clustered/reference/glossary/#field-value).

```sql
BOTTOM(field_expression[, tag_expression_1[, ..., tag_expression_n]], N)
```

> [!Note]
> **Note:** `BOTTOM()` returns the field value with the earliest timestamp if
> there’s a tie between two or more values for the smallest value.

#### Arguments

* **field\_expression**: Expression to identify the field to operate on.
  Can be a [field key](/influxdb3/clustered/reference/glossary/#field-key)or constant.
* **tag\_expression**: Expression to identify a tag key to segment by.
  Can be a [tag key](/influxdb3/clustered/reference/glossary/#tag-key)or constant. Comma-delimit multiple tags.
* **N**: Number of results to return from each InfluxQL group or specified tag segment.

#### Notable behaviors

* `BOTTOM()` [maintains original timestamps when grouping by time](#timestamps-when-grouping-by-time).
* `BOTTOM()` [may return fewer points than expected](#selector-functions-may-return-fewer-points-than-expected).

#### Examples

[](#select-the-bottom-three-values-of-a-field)

Select the bottom three values of a field

```sql
SELECT BOTTOM(temp, 3) FROM home
```

name: home

|        time        |bottom|
|--------------------|------|
|2022-01-01T08:00:00Z|  21  |
|2022-01-01T08:00:00Z| 21.1 |
|2022-01-01T09:00:00Z| 21.4 |

[](#select-the-bottom-field-value-for-two-unique-tag-values)

Select the bottom field value for two unique tag values

```sql
SELECT BOTTOM(temp, room, 2) FROM home
```

name: home

|        time        |bottom|   room    |
|--------------------|------|-----------|
|2022-01-01T08:00:00Z|  21  |  Kitchen  |
|2022-01-01T08:00:00Z| 21.1 |Living Room|

[](#select-the-bottom-three-field-values-and-the-tag-value-associated-with-each)

Select the bottom three field values and the tag value associated with each

```sql
SELECT BOTTOM(temp, 3), room FROM home
```

name: home

|        time        |bottom|   room    |
|--------------------|------|-----------|
|2022-01-01T08:00:00Z|  21  |  Kitchen  |
|2022-01-01T08:00:00Z| 21.1 |Living Room|
|2022-01-01T09:00:00Z| 21.4 |Living Room|

[](#select-the-bottom-field-values-for-unique-tag-values-and-within-time-windows-grouped-by-time)

Select the bottom field values for unique tag values and within time windows (grouped by time)

```sql
SELECT
  BOTTOM(temp, room, 2)
FROM home
WHERE
  time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T12:00:00Z'
GROUP BY time(2h)
```

name: home

|        time        |bottom|   room    |
|--------------------|------|-----------|
|2022-01-01T08:00:00Z|  21  |  Kitchen  |
|2022-01-01T08:00:00Z| 21.1 |Living Room|
|2022-01-01T10:00:00Z| 21.8 |Living Room|
|2022-01-01T11:00:00Z| 22.4 |  Kitchen  |
|2022-01-01T12:00:00Z| 22.2 |Living Room|
|2022-01-01T12:00:00Z| 22.5 |  Kitchen  |

Notice that when grouping by time, `BOTTOM()`[maintains the point’s original timestamp](#timestamps-when-grouping-by-time).

## FIRST()

Returns the [field value](/influxdb3/clustered/reference/glossary/#field-value) with the oldest timestamp.

```sql
FIRST(field_expression)
```

#### Arguments

* **field\_expression**: Expression to identify one or more fields to operate on.
  Can be a [field key](/influxdb3/clustered/reference/glossary/#field-key),
  constant, regular expression, or wildcard (`*`).
  Supports all field [data types](/influxdb/v2/query-data/influxql/explore-data/select/#data-types).

#### Notable behaviors

* `FIRST()` [overrides original timestamps when grouping by time](#timestamps-when-grouping-by-time)

#### Examples

[](#select-the-first-value-for-a-field)

Select the first value for a field

```sql
SELECT FIRST(temp) FROM home
```

name: home

|        time        |first|
|--------------------|-----|
|2022-01-01T08:00:00Z|21.1 |

[](#select-the-first-value-from-each-field)

Select the first value from each field

```sql
SELECT FIRST(*) FROM home
```

name: home

|        time        |first\_co|first\_hum|first\_temp|
|--------------------|---------|----------|-----------|
|1970-01-01T00:00:00Z|    0    |   35.9   |   21.1    |

[](#select-the-first-value-from-field-keys-that-match-a-regular-expression)

Select the first value from field keys that match a regular expression

```sql
SELECT FIRST(/^[th]/) FROM home
```

name: home

|        time        |first\_hum|first\_temp|
|--------------------|----------|-----------|
|1970-01-01T00:00:00Z|   35.9   |   21.1    |

[](#select-the-first-value-from-a-field-within-time-windows-grouped-by-time)

Select the first value from a field within time windows (grouped by time)

```
SELECT
  FIRST(temp)
FROM home
WHERE
  room = 'Kitchen'
  AND time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
```

name: home

|        time        |first|
|--------------------|-----|
|2022-01-01T06:00:00Z| 21  |
|2022-01-01T12:00:00Z|22.5 |
|2022-01-01T18:00:00Z|23.3 |

Notice that when grouping by time, `FIRST()`[overrides the point’s original timestamp](#timestamps-when-grouping-by-time).

## LAST()

Returns the [field value](/influxdb3/clustered/reference/glossary/#field-value) with the most recent timestamp.

```sql
LAST(field_expression)
```

#### Arguments

* **field\_expression**: Expression to identify one or more fields to operate on.
  Can be a [field key](/influxdb3/clustered/reference/glossary/#field-key),
  constant, regular expression, or wildcard (`*`).
  Supports all field [data types](/influxdb/v2/query-data/influxql/explore-data/select/#data-types).

#### Notable behaviors

* `LAST()` [overrides original timestamps when grouping by time](#timestamps-when-grouping-by-time)

#### Examples

[](#select-the-last-value-for-a-field)

Select the last value for a field

```sql
SELECT LAST(temp) FROM home
```

name: home

|        time        |last|
|--------------------|----|
|2022-01-01T20:00:00Z|22.7|

[](#select-the-last-value-from-each-field)

Select the last value from each field

```sql
SELECT LAST(*) FROM home
```

name: home

|        time        |last\_co|last\_hum|last\_temp|
|--------------------|--------|---------|----------|
|1970-01-01T00:00:00Z|   26   |  36.5   |   22.7   |

[](#select-the-last-value-from-field-keys-that-match-a-regular-expression)

Select the last value from field keys that match a regular expression

```sql
SELECT LAST(/^[th]/) FROM home
```

name: home

|        time        |last\_hum|last\_temp|
|--------------------|---------|----------|
|1970-01-01T00:00:00Z|  36.5   |   22.7   |

[](#select-the-last-value-from-a-field-within-time-windows-grouped-by-time)

Select the last value from a field within time windows (grouped by time)

```
SELECT
  LAST(temp)
FROM home
WHERE
  room = 'Kitchen'
  AND time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
```

name: home

|        time        |last|
|--------------------|----|
|2022-01-01T06:00:00Z|22.4|
|2022-01-01T12:00:00Z|22.7|
|2022-01-01T18:00:00Z|22.7|

Notice that when grouping by time, `LAST()`[overrides the point’s original timestamp](#timestamps-when-grouping-by-time).

## MAX()

Returns the greatest [field value](/influxdb3/clustered/reference/glossary/#field-value).

```sql
MAX(field_expression)
```

#### Arguments

* **field\_expression**: Expression to identify one or more fields to operate on.
  Can be a [field key](/influxdb3/clustered/reference/glossary/#field-key),
  constant, regular expression, or wildcard (`*`).
  Supports **numeric fields**.

#### Notable behaviors

* `MAX()` [overrides original timestamps when grouping by time](#timestamps-when-grouping-by-time).

#### Examples

[](#select-the-maximum-value-from-a-field)

Select the maximum value from a field

```sql
SELECT MAX(co) FROM home
```

name: home

|        time        |max|
|--------------------|---|
|2022-01-01T20:00:00Z|26 |

[](#select-the-maximum-value-from-each-field)

Select the maximum value from each field

```sql
SELECT MAX(*) FROM home
```

name: home

|        time        |max\_co|max\_hum|max\_temp|
|--------------------|-------|--------|---------|
|1970-01-01T00:00:00Z|  26   |  36.9  |  23.3   |

[](#select-the-maximum-value-from-field-keys-that-match-a-regular-expression)

Select the maximum value from field keys that match a regular expression

```sql
SELECT MAX(/^[th]/) FROM home
```

name: home

|        time        |max\_hum|max\_temp|
|--------------------|--------|---------|
|1970-01-01T00:00:00Z|  36.9  |  23.3   |

[](#select-the-maximum-value-from-a-field-within-time-windows-grouped-by-time)

Select the maximum value from a field within time windows (grouped by time)

```sql
SELECT
  MAX(temp)
FROM home
WHERE
  room = 'Kitchen'
  AND time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
```

name: home

|        time        |max |
|--------------------|----|
|2022-01-01T06:00:00Z| 23 |
|2022-01-01T12:00:00Z|22.8|
|2022-01-01T18:00:00Z|23.3|

Notice that when grouping by time, `MAX()`[overrides the point’s original timestamp](#timestamps-when-grouping-by-time).

## MIN()

Returns the lowest [field value](/influxdb3/clustered/reference/glossary/#field-value).

```sql
MIN(field_expression)
```

#### Arguments

* **field\_expression**: Expression to identify one or more fields to operate on.
  Can be a [field key](/influxdb3/clustered/reference/glossary/#field-key),
  constant, regular expression, or wildcard (`*`).
  Supports **numeric fields**.

#### Notable behaviors

* `MIN()` [overrides original timestamps when grouping by time](#timestamps-when-grouping-by-time).

#### Examples

[](#select-the-minimum-value-from-a-field)

Select the minimum value from a field

```sql
SELECT MIN(temp) FROM home
```

name: home

|        time        |min|
|--------------------|---|
|2022-01-01T08:00:00Z|21 |

[](#select-the-minimum-value-from-each-field)

Select the minimum value from each field

```sql
SELECT MIN(*) FROM home
```

name: home

|        time        |min\_co|min\_hum|min\_temp|
|--------------------|-------|--------|---------|
|1970-01-01T00:00:00Z|   0   |  35.9  |   21    |

[](#select-the-minimum-value-from-field-keys-that-match-a-regular-expression)

Select the minimum value from field keys that match a regular expression

```sql
SELECT MIN(/^[th]/) FROM home
```

name: home

|        time        |min\_hum|min\_temp|
|--------------------|--------|---------|
|1970-01-01T00:00:00Z|  35.9  |   21    |

[](#select-the-minimum-value-from-a-field-within-time-windows-grouped-by-time)

Select the minimum value from a field within time windows (grouped by time)

```sql
SELECT
  MIN(temp)
FROM home
WHERE
  room = 'Kitchen'
  AND time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
```

name: home

|        time        |min |
|--------------------|----|
|2022-01-01T06:00:00Z| 21 |
|2022-01-01T12:00:00Z|22.4|
|2022-01-01T18:00:00Z|22.7|

Notice that when grouping by time, `MIN()`[overrides the point’s original timestamp](#timestamps-when-grouping-by-time).

## PERCENTILE()

Returns the `N`th percentile [field value](/influxdb3/clustered/reference/glossary/#field-value).

```sql
PERCENTILE(field_expression, N)
```

#### Arguments

* **field\_expression**: Expression to identify one or more fields to operate on.
  Can be a [field key](/influxdb3/clustered/reference/glossary/#field-key),
  constant, regular expression, or wildcard (`*`).
  Supports **numeric fields**.
* **N**: Percentile to return.
  Must be an integer or float value **greater than 0 and less than or equal to 100**.

#### Notable behaviors

* `PERCENTILE()` [overrides original timestamps when grouping by time](#timestamps-when-grouping-by-time).
* `PERCENTILE(example_field, 100)` is equivalent to [`MAX(example_field)`](#max).
* `PERCENTILE(example_field, 50)` is nearly equivalent to[`MEDIAN(example_field)`](/influxdb3/clustered/reference/influxql/functions/aggregates/#median),
  except `MEDIAN()` returns the average of the two middle values if the field
  contains an even number of values.
* `PERCENTILE(example_field, 0)` returns *null*.

#### Examples

[](#select-the-50th-percentile-value-from-a-field)

Select the 50th percentile value from a field

```sql
SELECT PERCENTILE(temp, 50) FROM home
```

name: home

|        time        |percentile|
|--------------------|----------|
|2022-01-01T11:00:00Z|   22.4   |

[](#select-the-50th-percentile-value-from-each-field)

Select the 50th percentile value from each field

```sql
SELECT PERCENTILE(*, 50) FROM home
```

name: home

|        time        |percentile\_co|percentile\_hum|percentile\_temp|
|--------------------|--------------|---------------|----------------|
|1970-01-01T00:00:00Z|      1       |      36       |      22.4      |

[](#select-the-50th-percentile-value-from-field-keys-that-match-a-regular-expression)

Select the 50th percentile value from field keys that match a regular expression

```sql
SELECT PERCENTILE(/^[th]/, 50) FROM home
```

name: home

|        time        |percentile\_hum|percentile\_temp|
|--------------------|---------------|----------------|
|1970-01-01T00:00:00Z|      36       |      22.4      |

[](#select-the-50th-percentile-value-from-a-field-within-time-windows-grouped-by-time)

Select the 50th percentile value from a field within time windows (grouped by time)

```sql
SELECT
  PERCENTILE(temp, 50)
FROM home
WHERE
  room = 'Kitchen'
  AND time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
```

name: home

|        time        |percentile|
|--------------------|----------|
|2022-01-01T06:00:00Z|   22.4   |
|2022-01-01T12:00:00Z|   22.7   |
|2022-01-01T18:00:00Z|   23.1   |

Notice that when grouping by time, `PERCENTILE()`[overrides the point’s original timestamp](#timestamps-when-grouping-by-time).

## TOP()

Returns the greatest `N` [field values](/influxdb3/clustered/reference/glossary/#field-value).`TOP()` supports int64 and float64 field value [data types](/influxdb3/clustered/reference/glossary/#field-value).

```sql
TOP(field_expression[, tag_expression_1[, ..., tag_expression_n]], N)
```

> [!Note]
> **Note:** `TOP()` returns the field value with the earliest timestamp if there’s
> a tie between two or more values for the greatest value.

#### Arguments

* **field\_expression**: Expression to identify the field to operate on.
  Can be a [field key](/influxdb3/clustered/reference/glossary/#field-key)or constant.
* **tag\_expression**: Expression to identify a tag key to segment by.
  Can be a [tag key](/influxdb3/clustered/reference/glossary/#tag-key)or constant. Comma-delimit multiple tags.
* **N**: Number of results to return from each InfluxQL group or specified tag segment.

#### Notable behaviors

* `TOP()` [maintains original timestamps when grouping by time](#timestamps-when-grouping-by-time).
* `TOP()` [may return fewer points than expected](#selector-functions-may-return-fewer-points-than-expected).

#### Examples

[](#select-the-top-three-values-of-a-field)

Select the top three values of a field

```sql
SELECT TOP(temp, 3) FROM home
```

name: home

|        time        |top |
|--------------------|----|
|2022-01-01T09:00:00Z| 23 |
|2022-01-01T18:00:00Z|23.3|
|2022-01-01T19:00:00Z|23.1|

[](#select-the-top-field-value-for-two-unique-tag-values)

Select the top field value for two unique tag values

```sql
SELECT TOP(temp, room, 2) FROM home
```

name: home

|        time        |top |   room    |
|--------------------|----|-----------|
|2022-01-01T18:00:00Z|23.3|  Kitchen  |
|2022-01-01T18:00:00Z|22.8|Living Room|

[](#select-the-top-three-field-values-and-the-tag-value-associated-with-each)

Select the top three field values and the tag value associated with each

```sql
SELECT TOP(temp, 3), room FROM home
```

name: home

|        time        |top | room  |
|--------------------|----|-------|
|2022-01-01T09:00:00Z| 23 |Kitchen|
|2022-01-01T18:00:00Z|23.3|Kitchen|
|2022-01-01T19:00:00Z|23.1|Kitchen|

[](#select-the-top-field-values-for-unique-tag-values-and-within-time-windows-grouped-by-time)

Select the top field values for unique tag values and within time windows (grouped by time)

```sql
SELECT
  TOP(temp, room, 2)
FROM home
WHERE
  time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T12:00:00Z'
GROUP BY time(2h)
```

name: home

|        time        |top |   room    |
|--------------------|----|-----------|
|2022-01-01T09:00:00Z| 23 |  Kitchen  |
|2022-01-01T09:00:00Z|21.4|Living Room|
|2022-01-01T10:00:00Z|22.7|  Kitchen  |
|2022-01-01T11:00:00Z|22.2|Living Room|
|2022-01-01T12:00:00Z|22.5|  Kitchen  |
|2022-01-01T12:00:00Z|22.2|Living Room|

Notice that when grouping by time, `TOP()`[maintains the point’s original timestamp](#timestamps-when-grouping-by-time).

## Notable behaviors of selector functions

* [Timestamps when grouping by time](#timestamps-when-grouping-by-time)
* [Selector functions may return fewer points than expected](#selector-functions-may-return-fewer-points-than-expected)

### Timestamps when grouping by time

When using selector functions with a `GROUP BY time()` clause, most selector
functions return the timestamp of the starting boundary for each time interval.
However functions with an `N` argument that specifies the number of results to
return per group maintain the original timestamp of each returned point.

###### Return the start time of each time interval

* [FIRST()](#first)
* [LAST()](#last)
* [MAX()](#max)
* [MIN()](#min)
* [PERCENTILE()](#percentile)

###### Maintain the original timestamp

* [BOTTOM()](#bottom)
* [TOP()](#top)

### Selector functions may return fewer points than expected

Queries that use the following selector functions with an `N` argument may
return fewer points than expected.

* [BOTTOM()](#bottom)
* [TOP()](#top)

If the InfluxQL group or specified tag key contains `X` points or unique tag
values and `X` is less than `N`, the function returns `X` results instead of `N`for each group or tag value.

[](#view-example-for-fnfield_key-n)

View example for `FN(field_key, N)`

The example below selects the bottom 5 temperatures from the Kitchen between2022-01-01T08:00:00Zand 2022-01-01T10:00:00Z.
There are only 3 points recorded for the Kitchen during the queried time range,
so the query returns 3 points instead of 5.

```sql
SELECT BOTTOM(temp, 5)
FROM home
WHERE
  time >= '2022-01-01T08:00:00Z'
  AND time <= '2022-01-01T10:00:00Z'
  AND room = 'Kitchen'
```

|        time        |bottom|
|--------------------|------|
|2022-01-01T08:00:00Z|  21  |
|2022-01-01T09:00:00Z|  23  |
|2022-01-01T10:00:00Z| 22.7 |

[](#view-example-for-fnfield_key-tag_key-n)

View example for `FN(field_key, tag_key, N)`

The example below selects the top temperature from 3 unique values of the `room` tag.
However, the `room` tag only has 2 unique values, so results only contain 2 values.

```sql
SELECT TOP(temp, room, 3) FROM home
```

|        time        |top |   room    |
|--------------------|----|-----------|
|2022-01-01T18:00:00Z|23.3|  Kitchen  |
|2022-01-01T18:00:00Z|22.8|Living Room|

#### Related

* [Aggregate data with InfluxQL](/influxdb3/clustered/query-data/influxql/aggregate-select/)
| time | bottom |
| --- | --- |
| time | bottom |
| 2022-01-01T08:00:00Z | 21 |
| 2022-01-01T08:00:00Z | 21.1 |
| 2022-01-01T09:00:00Z | 21.4 |

| time | bottom | room |
| --- | --- | --- |
| time | bottom | room |
| 2022-01-01T08:00:00Z | 21 | Kitchen |
| 2022-01-01T08:00:00Z | 21.1 | Living Room |

| time | bottom | room |
| --- | --- | --- |
| time | bottom | room |
| 2022-01-01T08:00:00Z | 21 | Kitchen |
| 2022-01-01T08:00:00Z | 21.1 | Living Room |
| 2022-01-01T09:00:00Z | 21.4 | Living Room |

| time | bottom | room |
| --- | --- | --- |
| time | bottom | room |
| 2022-01-01T08:00:00Z | 21 | Kitchen |
| 2022-01-01T08:00:00Z | 21.1 | Living Room |
| 2022-01-01T10:00:00Z | 21.8 | Living Room |
| 2022-01-01T11:00:00Z | 22.4 | Kitchen |
| 2022-01-01T12:00:00Z | 22.2 | Living Room |
| 2022-01-01T12:00:00Z | 22.5 | Kitchen |

| time | first |
| --- | --- |
| time | first |
| 2022-01-01T08:00:00Z | 21.1 |

| time | first_co | first_hum | first_temp |
| --- | --- | --- | --- |
| time | first_co | first_hum | first_temp |
| 1970-01-01T00:00:00Z | 0 | 35.9 | 21.1 |

| time | first_hum | first_temp |
| --- | --- | --- |
| time | first_hum | first_temp |
| 1970-01-01T00:00:00Z | 35.9 | 21.1 |

| time | first |
| --- | --- |
| time | first |
| 2022-01-01T06:00:00Z | 21 |
| 2022-01-01T12:00:00Z | 22.5 |
| 2022-01-01T18:00:00Z | 23.3 |

| time | last |
| --- | --- |
| time | last |
| 2022-01-01T20:00:00Z | 22.7 |

| time | last_co | last_hum | last_temp |
| --- | --- | --- | --- |
| time | last_co | last_hum | last_temp |
| 1970-01-01T00:00:00Z | 26 | 36.5 | 22.7 |

| time | last_hum | last_temp |
| --- | --- | --- |
| time | last_hum | last_temp |
| 1970-01-01T00:00:00Z | 36.5 | 22.7 |

| time | last |
| --- | --- |
| time | last |
| 2022-01-01T06:00:00Z | 22.4 |
| 2022-01-01T12:00:00Z | 22.7 |
| 2022-01-01T18:00:00Z | 22.7 |

| time | max |
| --- | --- |
| time | max |
| 2022-01-01T20:00:00Z | 26 |

| time | max_co | max_hum | max_temp |
| --- | --- | --- | --- |
| time | max_co | max_hum | max_temp |
| 1970-01-01T00:00:00Z | 26 | 36.9 | 23.3 |

| time | max_hum | max_temp |
| --- | --- | --- |
| time | max_hum | max_temp |
| 1970-01-01T00:00:00Z | 36.9 | 23.3 |

| time | max |
| --- | --- |
| time | max |
| 2022-01-01T06:00:00Z | 23 |
| 2022-01-01T12:00:00Z | 22.8 |
| 2022-01-01T18:00:00Z | 23.3 |

| time | min |
| --- | --- |
| time | min |
| 2022-01-01T08:00:00Z | 21 |

| time | min_co | min_hum | min_temp |
| --- | --- | --- | --- |
| time | min_co | min_hum | min_temp |
| 1970-01-01T00:00:00Z | 0 | 35.9 | 21 |

| time | min_hum | min_temp |
| --- | --- | --- |
| time | min_hum | min_temp |
| 1970-01-01T00:00:00Z | 35.9 | 21 |

| time | min |
| --- | --- |
| time | min |
| 2022-01-01T06:00:00Z | 21 |
| 2022-01-01T12:00:00Z | 22.4 |
| 2022-01-01T18:00:00Z | 22.7 |

| time | percentile |
| --- | --- |
| time | percentile |
| 2022-01-01T11:00:00Z | 22.4 |

| time | percentile_co | percentile_hum | percentile_temp |
| --- | --- | --- | --- |
| time | percentile_co | percentile_hum | percentile_temp |
| 1970-01-01T00:00:00Z | 1 | 36 | 22.4 |

| time | percentile_hum | percentile_temp |
| --- | --- | --- |
| time | percentile_hum | percentile_temp |
| 1970-01-01T00:00:00Z | 36 | 22.4 |

| time | percentile |
| --- | --- |
| time | percentile |
| 2022-01-01T06:00:00Z | 22.4 |
| 2022-01-01T12:00:00Z | 22.7 |
| 2022-01-01T18:00:00Z | 23.1 |

| time | top |
| --- | --- |
| time | top |
| 2022-01-01T09:00:00Z | 23 |
| 2022-01-01T18:00:00Z | 23.3 |
| 2022-01-01T19:00:00Z | 23.1 |

| time | top | room |
| --- | --- | --- |
| time | top | room |
| 2022-01-01T18:00:00Z | 23.3 | Kitchen |
| 2022-01-01T18:00:00Z | 22.8 | Living Room |

| time | top | room |
| --- | --- | --- |
| time | top | room |
| 2022-01-01T09:00:00Z | 23 | Kitchen |
| 2022-01-01T18:00:00Z | 23.3 | Kitchen |
| 2022-01-01T19:00:00Z | 23.1 | Kitchen |

| time | top | room |
| --- | --- | --- |
| time | top | room |
| 2022-01-01T09:00:00Z | 23 | Kitchen |
| 2022-01-01T09:00:00Z | 21.4 | Living Room |
| 2022-01-01T10:00:00Z | 22.7 | Kitchen |
| 2022-01-01T11:00:00Z | 22.2 | Living Room |
| 2022-01-01T12:00:00Z | 22.5 | Kitchen |
| 2022-01-01T12:00:00Z | 22.2 | Living Room |

| time | bottom |
| --- | --- |
| time | bottom |
| 2022-01-01T08:00:00Z | 21 |
| 2022-01-01T09:00:00Z | 23 |
| 2022-01-01T10:00:00Z | 22.7 |

| time | top | room |
| --- | --- | --- |
| time | top | room |
| 2022-01-01T18:00:00Z | 23.3 | Kitchen |
| 2022-01-01T18:00:00Z | 22.8 | Living Room |