# Prepare and Analyze Datasets

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This page was generated from content adapted from the [AWS Developer Guide](https://github.com/awsdocs/amazon-sagemaker-developer-guide.git)
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## Prepare Data with Data Wrangler

* **Important**\
  Data Wrangler no longer supports Jupyter Lab Version 1 (JL1). To access the latest features and updates, update to Jupyter Lab Version 3. For more information about upgrading, see [View and update the JupyterLab version of an application from the console](https://github.com/kevinslin/aws-reference-notes/blob/main/services/amazon_sage_maker/studio-jl.md#studio-jl-view).


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://awsnotes.dendron.so/machine-learning/amazon-sagemaker/topics/prepare-and-analyze-datasets.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.