Papers › Jupyter Scatter: Interactive Exploration of Large-Scale Datasets
Jupyter Scatter: Interactive Exploration of Large-Scale Datasets
Fritz Lekschas, Trevor Manz
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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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