How to project numerical and categorical data?
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Description
I want to project the Titanic dataset it contains categorical and numerical data?
I heard in this video (min 48:08), basically says that UMAP can combine multiple data types, so the question is how?
One approach would be to project numerical data only and then categorical data only and finally combine them in the same space. But Is that approach the way to go?
Thank you for your time.
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First steps
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Research direction
The issue names the Titanic dataset and asks how UMAP should combine numerical and categorical data, but it names no repository file, test, or entry point. Start by reviewing the project's documentation and examples for mixed-type inputs; done would require a decided, documented workflow that answers this question.
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Assessment
- Tech stack
- python
- Domain
- data-visualization, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100