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Merge pull request #14679 from newrelic/homelessbirds-patch-5
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Update apm-tab.mdx
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homelessbirds authored Nov 2, 2023
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26 changes: 13 additions & 13 deletions src/content/docs/errors-inbox/apm-tab.mdx
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* **Dynamic grouping:** The default grouping for error occurrences is based on error message, error class, and transaction UI name. You have the option to change the grouping options by any attribute, up to five attributes at a time.
* **Filtering:** Many New Relic customers instrument [custom attributes](/docs/data-apis/custom-data/custom-events/collect-custom-attributes/#enabling-custom). Filtering on a specific custom attribute can be a quick way to cut through the noise of all error occurrences.

### Error profiles [#profiles]

Error profiles can help you answer questions like, which users were most common across all the error events during the selected time window? Or which session was most common across all the error events during the selected time window?

You can download the attributes as CSV. You can also view the attributes breakdown when you select a row.

<img
title="error profiles"
alt="A depiction of error profiles in the UI"
src={apmErrorProfiles}
/>


## Errors details view [#details-view]

On this page, you can dive deep into a specific error group: Perhaps you've identified a specific group of hosts that is causing an error spike. The detailed view provides in-context details.
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* Click **Explore** to open an unfiltered waterfall where you can click through all the spans.



### Profiles tab [#profiles]

The **Profiles** tab helps you observe interesting trends across all error occurrences inside a specific error group. You can download this information as a CSV file for further analysis. When you click on an attribute bar, a table is rendered showing the breakdown of attributes and counts.

<img
title="error profiles"
alt="A depiction of error profiles in the UI"
src={apmErrorProfiles}
/>



## Select the time period for error data [#selected-time-period]

Use the time picker to examine the details of error events over the past week, month, or other time range.
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