> For the complete documentation index, see [llms.txt](https://videos.inforiver.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://videos.inforiver.com/reporting-matrix/conditional-formatting/heat-map-formatting.md).

# Heat map formatting

Inforiver's heatmap formatting feature is a powerful tool for highlighting critical values. With a simple color scale, users can easily highlight their data values across any category or dimension, enabling a quick and intuitive understanding of performance. 

Inforiver ensures maximum readability and clarity for the reader by automatically switching font colors to white when the background color gets darker.

{% embed url="<https://lumel.wistia.com/medias/muq5rxr1kc>" %}

> ## **Related resources**
>
> #### User guide
>
> [Conditional formatting](https://docs.inforiver.com/working-with-inforiver/5.-conditional-formatting)
>
> #### Blog
>
> [5 ways to supercharge your Power BI Conditional Formatting](https://inforiver.com/blog/general/supercharge-power-bi-conditional-formatting/)


---

# 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 dynamically by asking a question.

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

```
GET https://videos.inforiver.com/reporting-matrix/conditional-formatting/heat-map-formatting.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.