flekschas/jupyter-scatter-tutorial
Jupyter Scatter Tutorial (that was first presented at SciPy '23)
This project helps data scientists and researchers visualize and explore complex datasets, particularly those with many data points like gene expression profiles or text embeddings. It takes various forms of data, such as numeric tables, text, images, audio, or genomic data, and transforms them into interactive scatter plots. The output is a dynamic, linked visualization that allows for in-depth exploration of patterns, relationships, and outliers within the data.
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Use this if you need to interactively explore medium to large-scale datasets and identify hidden patterns or relationships through scatter plots, especially when dealing with embeddings from AI models or biological data.
Not ideal if you primarily need static visualizations for presentations or reports, or if your dataset is very small and doesn't require advanced interactive exploration.
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
May 20, 2025
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