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### Problem
Currently, (Random Cut Forest) RCF is not used for outlier detection. This significantly limits its capabilities in identifying and analyzing data points that deviate significantly from t…
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I encountered an issue while using the DeepvizLab/vrecs model (from [huggingFace](https://huggingface.co/DeepvizLab/vrecs)) for generating VegaZero code based on a CSV dataset. The model appears to ge…
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### Environment details
If you are already running SDV, please indicate the following details about the environment in
which you are running it:
* SDV version:
* Python version:
* Operating S…
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Enhance the preprocessing module to handle a wider range of data types and transformations.
- Implement advanced categorical encoding techniques (e.g., target encoding, weight of evidence)
- Add o…
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Problem Description:
The goal is to predict the likelihood of cervical cancer in individuals based on various risk factors such as age, number of sexual partners, pregnancies, and other related att…
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**Is your feature request related to a problem? Please describe.**
Metabase is missing the visualization technique [small multiples](https://en.wikipedia.org/wiki/Small_multiple), also called [faceti…
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As part of @Azaya89's internship, he reproduced a violin plot from *Fundamentals of Data Visualization*. Previously these were somewhat of a pain to generate with patch or polygon glyphs. However, the…
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Update scatterplot visualization to take into account data variables for the axis. IE if categorical it should show axes different from if its quantitative, etc.
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Suggested by [clsu22](https://github.com/clsu22) regarding the `explore_feature_map()` function:
> This function is useful for numeric variables but seems to do nothing with categorical variables. …