# Performing ML Data Analysis

The Aizen Jupyter notebook provides commands that allow you to perform ML data analysis.

The `loader` command loads data for analysis. Data may be loaded from a data source, a materialized dataset, or a data sink.

After loading the data for analysis, you can run commands such as `plot` or `show` to analyze the data. For more information, see the [Data Analysis Commands](/docs/model-building-commands/data-analysis-commands.md).


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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://aizen-corp.gitbook.io/docs/managing-ml-workflows/performing-ml-data-analysis.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.