> 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/pentaho-analyzer-cp/creating-analyzer-reports/visualizations-for-analyzer/treemap-visualization.md).

# Treemap visualization

A Treemap chart is used to display hierarchical data using nested rectangles. Each rectangle represents a group or cluster of data, and the size of the rectangle is proportional to the value of the data it represents. Treemaps are used to compare quantities and patterns in a very direct and efficient way, and to highlight the trends that structure our data. Double-click a rectangle to drill down into your data.

![Treemap chart](https://1610525749-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FdbSFXbJFiObHB299lSSa%2Fuploads%2Fgit-blob-281d6900882251c64009ef00ff6b317f438b350e%2FPAZ%20Treemap%20chart.png?alt=media)

| Property        | Definition                                                                                                                                             | Available In          |
| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------- |
| **Layout Mode** | Use this to select the rectangle layout algorithm used by a treemap plot.                                                                              | Treemap Visualization |
| **Data Labels** | Use this property to label the data features of your report and specify where you want them to appear. You can also choose not to display data labels. | Treemap Visualization |


---

# 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/pentaho-analyzer-cp/creating-analyzer-reports/visualizations-for-analyzer/treemap-visualization.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.