> For the complete documentation index, see [llms.txt](https://docs.pentaho.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pentaho.com/pba/10.2-analytics/pentaho-interactive-reports-cp/advanced-topics/group-and-filter-data-in-interactive-reports/group-data.md).

# Group data

You can organize the data in your interactive reports by grouping it by different fields, such as geographic region, product line, or both.

Use any of the following three methods to group data in your report:

* To group data that is already a column in your report, click the column header and drag it up above the other headers in your report. Release the mouse button once the horizontal green line appears.
* To group data in a field that is not already a column in your report, drag it from the **Data** tab in the left pane. Drop the field in the space above the report headers.
* To group data by more than one field, you can nest it into a group by dragging the field or column header beneath the original group.

Now your data is grouped and organized in your interactive report. You can also sort the data by clicking on the arrows that appear next to the group names, or [create some filters](/pba/10.2-analytics/pentaho-interactive-reports-cp/advanced-topics/create-advanced-filters-in-interactive-reports.md) to further refine your data.

After you are done, just click **Save**or **Save As** and choose the location to store your report.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.pentaho.com/pba/10.2-analytics/pentaho-interactive-reports-cp/advanced-topics/group-and-filter-data-in-interactive-reports/group-data.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.