# Step 5: Create a data profile
<a name="getting-started.05"></a>

When you work with on a project, DataBrew displays statistics such as the number of rows in the sample and the distribution of unique values in each column. These statistics, and many more, represent a *profile* of the sample.

To request a data profile, create and run a profile job.

**To profile a dataset**

1. On the navigation pane, choose **Jobs**.

1. On the **Profile jobs** tab, choose **Create job**.

1. For **Job name**, enter `chess-data-profile`.

1. For **Job type**, choose **Create a profile job**.

1. On the **Job input** pane, do the following:
   + For **Run on**, choose **Dataset**.
   + Choose **Select a dataset** to view a list of available datasets, and choose `chess-games`.

1. On the **Job output settings** pane, do the following:
   + For **File type**, choose **JSON** (JavaScript Object Notation).
   + Choose **S3 location **to view a list of available Amazon S3 buckets, and choose the bucket to use. Then choose **Browse**. In the list of folders, choose `databrew-output`, and chose **Select**.

1. On the **Access permissions** pane, choose `AwsGlueDataBrewDataAccessRole`. This is a service linked role that lets DataBrew access your Amazon S3 buckets on your behalf. 

1. Choose **Create and run job**. DataBrew creates a job with your settings, and then runs it.

1. On the **Job run history** pane, wait for the job status to change from `Running` to `Succeeded`.

1. To view the profile, choose **VIEW PROFILE**:  
![\[Icon of a person silhouette with "VIEW PROFILE" text underneath.\]](http://docs.aws.amazon.com/databrew/latest/dg/images/view-profile-button.png)

   The **DATASETS** window is shown. Take some time to explore the following tabs:
   + Dataset preview
   + Profile overview
   + Column statistics
   + Data lineage statistics