> For the complete documentation index, see [llms.txt](https://docs.inforiver.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inforiver.com/working-with-inforiver/3.-basic-interactions/explore-and-filter-data.md).

# Explore & filter data

When you have a large amount of data, features like search, filter & ranking can help you focus on a smaller subset based on certain conditions. In this section, we cover the following:

**1. Search & filter** - You can use the search option to look for specific words or values. Nested AND/OR filtering and column filtering can be applied to filter records based on conditions. To learn more, refer to [search & filter](/working-with-inforiver/3.-basic-interactions/explore-and-filter-data/search-and-filter.md).

**2. Explorer** - KPI explorer can be used to filter rows, columns and measures, sort by name or value and highlight row/column hierarchies using rules or ranges. To learn more, refer to [explorer](/working-with-inforiver/3.-basic-interactions/explore-and-filter-data/explorer.md).

**3. Top N** - Inforiver offers a dynamic and comprehensive Top N implementation using a no-code interface. To learn more, refer to [top N](/working-with-inforiver/3.-basic-interactions/explore-and-filter-data/top-n.md).


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# 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.inforiver.com/working-with-inforiver/3.-basic-interactions/explore-and-filter-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.
