Jupyter Scatter: Interactive Exploration of Large-Scale Datasets
<|reference_start|>Jupyter Scatter: Interactive Exploration of Large-Scale Datasets: 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.<|reference_end|>
@article{lekschas2024jupyter,
    title={Jupyter Scatter: Interactive Exploration of Large-Scale Datasets},
    author={Fritz Lekschas and Trevor Manz},
    journal={arXiv preprint arXiv:2406.14397},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.14397},
    primaryClass={cs.HC}
}