# Find median values

See the equivalent **InfluxDB v2** documentation: Find median values.

Use the `median()`

function
to return a value representing the `0.5`

quantile (50th percentile) or median of input data.

## Select a method for calculating the median

Select one of the following methods to calculate the median:

### estimate_tdigest

**(Default)** An aggregate method that uses a t-digest data structure
to compute an accurate `0.5`

quantile estimate on large data sources.
Output tables consist of a single row containing the calculated median.

**Given the following input table:**

_time | _value |
---|---|

2020-01-01T00:01:00Z | 1.0 |

2020-01-01T00:02:00Z | 1.0 |

2020-01-01T00:03:00Z | 2.0 |

2020-01-01T00:04:00Z | 3.0 |

`estimate_tdigest`

returns:

_value |
---|

1.5 |

### exact_mean

An aggregate method that takes the average of the two points closest to the `0.5`

quantile value.
Output tables consist of a single row containing the calculated median.

**Given the following input table:**

_time | _value |
---|---|

2020-01-01T00:01:00Z | 1.0 |

2020-01-01T00:02:00Z | 1.0 |

2020-01-01T00:03:00Z | 2.0 |

2020-01-01T00:04:00Z | 3.0 |

`exact_mean`

returns:

_value |
---|

1.5 |

### exact_selector

A selector method that returns the data point for which at least 50% of points are less than. Output tables consist of a single row containing the calculated median.

**Given the following input table:**

_time | _value |
---|---|

2020-01-01T00:01:00Z | 1.0 |

2020-01-01T00:02:00Z | 1.0 |

2020-01-01T00:03:00Z | 2.0 |

2020-01-01T00:04:00Z | 3.0 |

`exact_selector`

returns:

_time | _value |
---|---|

2020-01-01T00:02:00Z | 1.0 |

The examples below use the example data variable.

## Find the value that represents the median

Use the default method, `"estimate_tdigest"`

, to return all rows in a table that
contain values in the 50th percentile of data in the table.

```
data
|> median()
```

## Find the average of values closest to the median

Use the `exact_mean`

method to return a single row per input table containing the
average of the two values closest to the mathematical median of data in the table.

```
data
|> median(method: "exact_mean")
```

## Find the point with the median value

Use the `exact_selector`

method to return a single row per input table containing the
value that 50% of values in the table are less than.

```
data
|> median(method: "exact_selector")
```

## Use median() with aggregateWindow()

`aggregateWindow()`

segments data into windows of time, aggregates data in each window into a single
point, and then removes the time-based segmentation.
It is primarily used to downsample data.

To specify the median calculation method in `aggregateWindow()`

, use the
full function syntax:

```
data
|> aggregateWindow(every: 5m, fn: (tables=<-, column) => tables |> median(method: "exact_selector"))
```

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