> For the complete documentation index, see [llms.txt](https://bdcatalyst.gitbook.io/biodata-catalyst-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bdcatalyst.gitbook.io/biodata-catalyst-documentation/written-documentation/analyze-data-1/terra/running-analyses-on-terra/interactive-analysis-with-jupyter-notebooks.md).

# Interactive Analysis

The interactive analysis features of Terra support interactive data exploration, including the use of statistical methods and graphical display. Versatile and powerful interactive analysis is provided through Jupyter Notebooks in both Python and R languages.

Jupyter Notebooks run on a virtual machine (VM). You can customize your VM’s installed software by selecting one of Terra's preinstalled notebook cloud environments or choosing a custom environment by specifying a Docker container. Dockers ensure you and your colleagues analyze with the same software, making your results reproducible.

Article: [Interactive statistics and visualization with Jupyter notebooks](https://support.terra.bio/hc/en-us/articles/360024898671-Interactive-statistics-and-visualization-with-Jupyter-notebooks)\
Article: ​[Customizing your interactive analysis application compute](https://support.terra.bio/hc/en-us/articles/360038125912)\
Article: ​[Terra's Jupyter Notebooks environment Part I: Key components<br>](https://support.terra.bio/hc/en-us/search/click?data=BAh7CjoHaWRsKwjvrUvTUwA6CXR5cGVJIgxhcnRpY2xlBjoGRVQ6CHVybEkieWh0dHBzOi8vc3VwcG9ydC50ZXJyYS5iaW8vaGMvZW4tdXMvYXJ0aWNsZXMvMzYwMDI3MjM3ODcxLVRlcnJhLXMtSnVweXRlci1Ob3RlYm9va3MtZW52aXJvbm1lbnQtUGFydC1JLUtleS1jb21wb25lbnRzBjsHVDoOc2VhcmNoX2lkSSIpZTIwOTVkYjgtZmMyMS00MDUxLThmNzgtOTFkMzc2NTI5YTE3BjsHRjoJcmFua2kG--98cfe11c702494ccba7cc99587bcc9ef7aaa78fd)Article: ​[Terra's Jupyter Notebooks environment Part II: Key operations<br>](https://support.terra.bio/hc/en-us/search/click?data=BAh7CjoHaWRsKwikUUnTUwA6CXR5cGVJIgxhcnRpY2xlBjoGRVQ6CHVybEkiemh0dHBzOi8vc3VwcG9ydC50ZXJyYS5iaW8vaGMvZW4tdXMvYXJ0aWNsZXMvMzYwMDI3MDgzMTcyLVRlcnJhLXMtSnVweXRlci1Ob3RlYm9va3MtZW52aXJvbm1lbnQtUGFydC1JSS1LZXktb3BlcmF0aW9ucwY7B1Q6DnNlYXJjaF9pZEkiKWUyMDk1ZGI4LWZjMjEtNDA1MS04Zjc4LTkxZDM3NjUyOWExNwY7B0Y6CXJhbmtpCA%3D%3D--c1a47e6a22bf406bac81ce62e105885c7de890a8)Article: ​[Terra's Jupyter Notebooks environment Part III: Best Practices<br>](https://support.terra.bio/hc/en-us/search/click?data=BAh7CjoHaWRsKwjsmLnTUwA6CXR5cGVJIgxhcnRpY2xlBjoGRVQ6CHVybEkie2h0dHBzOi8vc3VwcG9ydC50ZXJyYS5iaW8vaGMvZW4tdXMvYXJ0aWNsZXMvMzYwMDM0NDQxNDUyLVRlcnJhLXMtSnVweXRlci1Ob3RlYm9va3MtZW52aXJvbm1lbnQtUGFydC1JSUktQmVzdC1QcmFjdGljZXMGOwdUOg5zZWFyY2hfaWRJIillMjA5NWRiOC1mYzIxLTQwNTEtOGY3OC05MWQzNzY1MjlhMTcGOwdGOglyYW5raQc%3D--088265ad4fc781767ae7b45c3f9cff2d699b6cc9)Video: [Notebooks overview<br>](https://www.youtube.com/watch?v=DbakAsk4-5c\&list=PLh_zJaZ9uQ7P0w6bMLWgL8oDul2EiNlv6\&index=6\&t=0s)Video: [Notebooks Quickstart walkthrough<br>](https://www.youtube.com/watch?v=Hn5xlnHyE-4\&t=7s)Workspace: [Notebooks Quickstart workspace<br>](https://terra.biodatacatalyst.nhlbi.nih.gov/#workspaces/fc-product-demo/Terra-Notebooks-Quickstart)Workspace: [BioData Catalyst notebooks collection<br>](https://terra.biodatacatalyst.nhlbi.nih.gov//#workspaces/biodata-catalyst/BioData%20Catalyst%20Collection/notebooks)Workspace: [PIC-SURE Tutorial in R<br>](https://terra.biodatacatalyst.nhlbi.nih.gov/#workspaces/biodata-catalyst/BioData%20Catalyst%20PIC-SURE%20API%20R%20Examples)Workspace: [PIC-SURE Tutorial in Python](https://terra.biodatacatalyst.nhlbi.nih.gov/#workspaces/biodata-catalyst/BioData%20Catalyst%20PIC-SURE%20API%20Python%20examples)<br>


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://bdcatalyst.gitbook.io/biodata-catalyst-documentation/written-documentation/analyze-data-1/terra/running-analyses-on-terra/interactive-analysis-with-jupyter-notebooks.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
