> For the complete documentation index, see [llms.txt](https://docs.trymito.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trymito.io/misc/release-notes/october-31-2022-replay-analysis-improvements.md).

# October 31, 2022: Replay Analysis Improvements

It is now easy to apply an existing analysis to new data, all from within Mito. This makes creating repeatable reports a breeze!

Imagine an analyst has created some pivot tables analyzing portfolio returns on the dataset `march_returns.txt`. Now, they'd like to create the same pivot tables with the dataset `april_returns.txt`. Changing the imported dataset and reapplying the same analysis steps is now easy within Mito, and so recreating these pivot tables takes just seconds.

<figure><img src="https://2294704369-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MP_U5ZCmiamDOXEOOTC%2Fuploads%2FFmGGoyWkUsgSaHINmZBG%2FScreen%20Shot%202022-10-31%20at%202.42.48%20PM.png?alt=media&amp;token=a1bfd124-cdeb-4542-9475-a14955c6031a" alt=""><figcaption></figcaption></figure>

See documentation for this feature here:

{% content-ref url="/pages/wGDDcb1vzffWBxW5g4Rd" %}
[Changing Imported Data](/how-to/changing-imported-data.md)
{% endcontent-ref %}


---

# 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.trymito.io/misc/release-notes/october-31-2022-replay-analysis-improvements.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.
