---
title: into_values() | Tiger Data Docs
description: Returns the lowest values and associated data from a MinNBy aggregate
---

Since [1.16.0](https://github.com/timescale/timescaledb-toolkit/releases/tag/1.16.0)

This returns the smallest values seen by the aggregate and the corresponding values associated with them. Note that PostgreSQL requires an input argument with type matching the associated value in order to determine the response type.

## Samples

Find the bottom 5 values from `i * 13 % 10007` for i = 1 to 10000, and the integer result of the operation that generated that modulus.

```
SELECT into_values(
    min_n_by(sub.mod, sub.div, 5),
    NULL::INT)
FROM (
  SELECT (i * 13) % 10007 AS mod, (i * 13) / 10007 AS div
  FROM generate_series(1,10000) as i
) sub;
```

Output:

```
into_values
-------------
(1,9)
(2,5)
(3,1)
(4,10)
(5,6)
```

## Arguments

The syntax is:

```
into_values (
    agg MinNBy
) SETOF BIGINT | SETOF DOUBLE PRECISION | SETOF TIMESTAMPTZ
```

| Name    | Type       | Default | Required | Description                                                                                                      |
| ------- | ---------- | ------- | -------- | ---------------------------------------------------------------------------------------------------------------- |
| `agg`   | MinNBy     | -       | ✔        | The aggregate to return the results from. Note that the exact type here varies based on the type of data stored. |
| `dummy` | ANYELEMENT | -       | ✔        | This is purely to inform PostgreSQL of the response type. A NULL cast to the appropriate type is typical.        |

## Returns

| Column       | Type                                                        | Description                                           |
| ------------ | ----------------------------------------------------------- | ----------------------------------------------------- |
| into\_values | SETOF BIGINT \| SETOF DOUBLE PRECISION \| SETOF TIMESTAMPTZ | The lowest values seen while creating this aggregate. |