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

# Overview

> Metric filters refine the data displayed on your metric cards, offering a more focused analysis.

### 1. **Access Metric Filter Settings:**

Inside the metric page, click on the **"+"** button located above the chart.

<Frame>
  <img src="https://mintcdn.com/databrainlabs-bef6850a/3OVuv1yincv0D6pa/images/guides/access-metric-filter.png?fit=max&auto=format&n=3OVuv1yincv0D6pa&q=85&s=651fff653744ba91c997d36d840d34b5" alt="Button above a metric chart used to access metric filter settings" width="2940" height="1656" data-path="images/guides/access-metric-filter.png" />
</Frame>

### 2. **Metric Filters:**

* Set the **"Filter Name"** and choose the **"Filter Type"** from the dropdown.
* Specify the **"Datatype"**.
* Choose the **"Filter Variant"** from the dropdown.
* Select the desired table and column.
* If required, save the filter as a **"Variable Filter"**. This captures a variable's value for use in your SQL query.

<Frame>
  <img src="https://mintcdn.com/databrainlabs-bef6850a/3OVuv1yincv0D6pa/images/guides/configure-metrric-filter.gif?s=f26ac75d1f2096cb7a09059c4371465c" alt="Configuring a metric filter including filter name, type, variant, column, and variable filter options" width="1632" height="918" data-path="images/guides/configure-metrric-filter.gif" />
</Frame>

**By integrating metric filters, you can ensure a more precise and tailored data representation in Databrain.**

<Check>
  You’ve successfully configured a Metric Filter in Databrain!\
  Your visualization is now refined, enabling sharper, more targeted insights across your dataset.
</Check>