> ## Documentation Index
> Fetch the complete documentation index at: https://docs.coreweave.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Unique Count

> Count the unique values in a column or unique combinations of values across columns.

## Description

This function helps to identify the unique number of values in a single column or the unique number of input parameter combinations in dataset.

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## Application

With this step you can quickly check how many distinct input value combinations you have in your dataset.

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## How to use

* Assign a dataset to the field **Data**.
* Select the **Columns** to check for unique set of values.
* Click **Apply**.

An info box with the number of unique values for the selected columns will appear. You don't get an information about the frequency of each unique value.

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## Examples

Consider the following dataset with one ID column and three Input columns:

<img src="https://mintcdn.com/coreweave-dbfa0e8d/QRLrBgwZtalbZXz3/monolith-ai/_media/Unique-Count-1.png?fit=max&auto=format&n=QRLrBgwZtalbZXz3&q=85&s=ee654bfee83fa24af9a3459287434d45" alt="Example dataset with an ID column and three Input columns used to count unique values" width="640" height="400" data-path="monolith-ai/_media/Unique-Count-1.png" />

* If you select only **Input1** for evaluation the unique value count will yield **3**. The unique values are `[1, 2, 3]`.
* If you select **Input1 and Input2** the unique count will yield **9** as for example `(1,2)` and `(2,1)` are not considered to be the same. The unique values are `[(1,1), (1,2), (1,3), (2,1), (2,2), (2,3), (3,1), (3,2), (3,3)]`.
* If you select **Input1 and Input3** the unique count will yield **6**. The unique values are `[(1,1), (1,2), (2,2), (2,3), (3,3), (3,1)]`.