# Generate Reports for Bias in Pre-training Data in SageMaker Studio
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SageMaker Clarify is integrated with Amazon SageMaker Data Wrangler, which can help you identify bias during data preparation without having to write your own code. Data Wrangler provides an end-to-end solution to import, prepare, transform, featurize, and analyze data with Amazon SageMaker Studio. For an overview of the Data Wrangler data prep workflow, see [Prepare ML Data with Amazon SageMaker Data Wrangler](data-wrangler.md).

You specify attributes of interest, such as gender or age, and SageMaker Clarify runs a set of algorithms to detect the presence of bias in those attributes. After the algorithm runs, SageMaker Clarify provides a visual report with a description of the sources and severity of possible bias so that you can plan steps to mitigate. For example, in a financial dataset that contains few examples of business loans to one age group as compared to others, SageMaker AI flags the imbalance so that you can avoid a model that disfavors that age group.

**To analyze and report on data bias**

To get started with Data Wrangler, see [Get Started with Data Wrangler](data-wrangler-getting-started.md).

1. In Amazon SageMaker Studio Classic, from the **Home** (![\[Black square icon representing a placeholder or empty image.\]](http://docs.amazonaws.cn/en_us/sagemaker/latest/dg/images/studio/icons/house.png)) menu in the left panel, navigate to the **Data** node, then choose **Data Wrangler**. This opens the ** Data Wrangler landing page** in Studio Classic. 

1. Choose the **\$1 Import data** button to create a new flow. 

1. In your flow page, from the **Import** tab, choose Amazon S3, navigate to your Amazon S3 bucket, find your dataset, then choose **Import**. 

1. After you have imported your data, on the flow graph in the **Data flow** tab, choose the **\$1** sign to the right of the **Data types** node. 

1. Choose **Add analysis**. 

1. On the **Create Analysis** page, choose **Bias Report** for the **Analysis type**. 

1. Configure the bias report by providing a report **Name**, the column to predict and whether it is a value or threshold, the column to analyze for bias (the facet) and whether it is a value or threshold. 

1. Continue configuring the bias report by choosing the bias metrics.  
![\[Choose the bias metric.\]](http://docs.amazonaws.cn/en_us/sagemaker/latest/dg/images/clarify-data-wrangler-configure-bias-metrics.png)

1. Choose **Check for bias** to generate and view the bias report. Scroll down to view all of the reports.   
![\[Generate and view the bias report.\]](http://docs.amazonaws.cn/en_us/sagemaker/latest/dg/images/clarify-data-wrangler-create-bias-report.png)

1. Choose the caret to the right of each bias metric description to see documentation that can help you interpret the significance of the metric values. 

1. To view a table summary of the bias metric values, choose the **Table** toggle. To save the report, choose **Save** in the lower-right corner of the page. You can see the report on the flow graph in the **Data flow** tab. Double-click on the report to open it.