> For the complete documentation index, see [llms.txt](https://docs.owkin.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.owkin.com/what-you-can-do-with-k-pro/patent-llm/prompting-for-a-plot.md).
# Prompting for a plot
**What to do:** Specify the chart type, variables, and dataset. K Pro supports real-time plot iteration: ask for specific formatting changes (colors, labels, font size) in follow-up prompts rather than trying to specify everything at once.
**Which agent/skill:** Visualization Agent
**Example prompt:**
> Create a Kaplan-Meier survival curve for TCGA-BRCA patients stratified by TP53 mutation status (mutated vs. wild-type). Include the p-value from a log-rank test and the number of patients at risk.
**Expected result:** A Kaplan-Meier plot with two curves, log-rank p-value, and at-risk table.
[**A-S-R-T-C breakdown**](https://docs.owkin.com/getting-started/prompting-guide-and-prompt-library)**:** Create \[A] TP53 mutation survival analysis \[S] at bulk level \[R] as a KM curve with log-rank test \[T] in TCGA-BRCA, mutated vs. wild-type \[C].
#### Create comparative visualizations
**Prompt:**
> Create a box plot comparing the expression of CD274 (PD-L1) across the five molecular subtypes in TCGA-BRCA. Add individual data points and mark statistically significant pairwise comparisons.
**Expected result:** A box plot with overlaid data points and significance brackets between groups.
**Follow-up:**
> Now create a heatmap of the top 50 differentially expressed genes between these molecular subtypes.
**Tip:** You can request multiple plot types in sequence. Each builds on the data context from the previous query.
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# 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://docs.owkin.com/what-you-can-do-with-k-pro/patent-llm/prompting-for-a-plot.md?ask=&goal=
```
`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.