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# ComfyUI-Data-Analysis
## Update
v1.1.0 was released which contains backward incompatible changes for worklows created using the prior version of ComfyUI Data Analysis custom nodes. Please read the Release Note.
![Baseball tutorial](docs/images/baseball_question.jpg)
## How Can We Figure Out Which MLB Player Had the Most Hits Per Year?
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ComfyUI was designed to make Stable Diffusion accessible to non-engineers while offering extensive customization. However, it doesn’t natively support structured data like baseball statistics. That’s why I created this ComfyUI extension—to bridge that gap.
This project is still in the conceptual stage, with limited Pandas and Matplotlib functionality, but it works. At the end of this page, you’ll find a tutorial on how to use this package to answer the MLB hits question.
At the end of this page, you’ll find a tutorial on how to use this package to answer the MLB hits question.
I hope you enjoy using it and have a great time exploring data.
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ComfyUI-Data-Analysis is a custom module for analyzing data using Pandas and Matplotlib within ComfyUI.
Here are some of the included nodes:
Here are just some of the included nodes. For a complete list of nodes, check out [Node Reference](docs/reference/node_reference.md):
- Loading a CSV file as a DataFrame
- Saving a DataFrame to a CSV file
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For a practical example, see the tutorial on baseball data: [How to Find Out Who Had the Most Hits](docs/baseball_example1.md).
## Update
Please refer to the release notes. I try to avoid backward-incompatible changes as much as possible, but sometimes they are unavoidable because the project is still in its early stage and I discover issues along the way. The release notes contain those changes so that you know what to expect before upgrading your version.
## Contribution
🚫 **This project does not accept pull requests.**
Unsolicited PRs will be **closed without review**.