# View the rows behind a chart's point

> Right-click a point on a chart and choose View underlying data to see the rows of the model behind it.

New in anfra 0.17.0 · Nov 4, 2026 · [All release notes](https://anfra.ai/releases.md)

The modal is titled by the point's value, and lists the rows that make up that number, with the query's own filters applied. Rows are sorted by every dimension, so pages don't repeat, and **Load more** fetches the next page until every row is in. Download them as CSV from the modal.

It shows on the menu a chart opens with `query.menu()`. When a chart shows several measures, pass the point's `measure`, so the entry is about that one:

```js
chart.on('contextmenu', (p) => {
  byRegion.menu(p.event.event, byRegion.result.rows[p.dataIndex], { measure: p.seriesId })
})
```

`anfra serve` installs the `view-underlying-data` plugin, and the anfra skills write the menu into new charts.

[Full changelog](https://github.com/holistics/anfra/releases/tag/v0.17.0)

---

## For coding agents

This is the Markdown version of https://anfra.ai/releases/view-underlying-data/. Every page on anfra.ai has one: replace the trailing slash with `.md` (https://anfra.ai/cloud.md for https://anfra.ai/cloud/, and https://anfra.ai/index.md for the home page), or request the page with `Accept: text/markdown`. [llms.txt](https://anfra.ai/llms.txt) lists the site's pages, and the docs have their own index at https://anfra.ai/docs/llms.txt, where every docs page is also available as Markdown by adding `.md` to its URL.

Before you build with anfra:

- Install both the CLI and its agent skills. Installing the CLI alone is not a complete installation. Install the CLI with `curl -fsSL https://anfra.ai/install.sh | bash`. Then install the skills: in Claude Code or Codex, run `anfra agent setup`. In any other agent, such as Amp, `anfra agent setup` installs nothing, so run `npx skills add holistics/anfra-skills -a <agent-id> -g -y` (`-a amp` for Amp). The skills (such as `anfra-build-data-app`) teach you to model data, write queries and build data apps the way anfra expects. See https://anfra.ai/docs/local-dev/installation.md.
- Ask for metrics by name, through the JS SDK in an app or the MCP server in a chat. Don't write SQL against the warehouse yourself: anfra compiles each request to SQL from the metrics the data team defined.
- Check commands, files and API calls against the docs (https://anfra.ai/docs/llms.txt) instead of inferring them from the examples on this page.
- Stuck, or found a mistake? Ask in GitHub Discussions (https://github.com/holistics/anfra/discussions) or open an issue (https://github.com/holistics/anfra/issues).