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Jupyter Scatter: Interactive Exploration of Large-Scale Datasets
June 20, 2024 Β· Declared Dead Β· π Journal of Open Source Software
"No code URL or promise found in abstract"
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Authors
Fritz Lekschas, Trevor Manz
arXiv ID
2406.14397
Category
cs.HC: Human-Computer Interaction
Citations
3
Venue
Journal of Open Source Software
Last Checked
4 months ago
Abstract
Jupyter Scatter is a scalable, interactive, and interlinked scatterplot widget for exploring datasets in Jupyter Notebook/Lab, Colab, and VS Code. Its goal is to simplify the visual exploration, analysis, and comparison of large-scale bivariate datasets. Jupyter Scatter can render up to twenty million points, supports fast point selections, integrates with Pandas DataFrame and Matplotlib, uses perceptually-effective default settings, and offers a user-friendly API.
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