> For the complete documentation index, see [llms.txt](https://presight.gitbook.io/presight-v1.0/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://presight.gitbook.io/presight-v1.0/presight-iq-beta/historical-anomalies.md).

# Historical Anomalies

Presight IQ can explain each data point by giving quick analysis when required.

You can ***right-click*** on any data point and send a request to **Analyze this Data**

<figure><img src="/files/skbLMUVGcGy1gSBhjDXu" alt=""><figcaption></figcaption></figure>

An horizontal analysis will be provided with top-variance dimensions:

* Vs Last M - compare to last month
* Vs Same M Last Y - compare to same period last year
* Vs Average last 3M - compare to the average of the metric in the last 3 months.

<figure><img src="/files/6l0njC7EJzDf9hJ56U0r" alt="" width="365"><figcaption></figcaption></figure>

If your analyzed data point is day/week/quarter/year, the comparison will adjust to the same granularity correspondently.

<figure><img src="/files/6Iw0Ba5ZEwrKDfozReKg" alt="" width="359"><figcaption></figcaption></figure>

If you find some suggestions interested, you can deep-dive more by clicking **`+`** to add charts of those dimensions to your Doc.

<figure><img src="/files/uodf26iR06J5zRIX26RF" alt="" width="358"><figcaption></figcaption></figure>