English

Jupyter Scatter: Interactive Exploration of Large-Scale Datasets

Human-Computer Interaction 2024-06-24 v2

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.

Cite

@article{arxiv.2406.14397,
  title  = {Jupyter Scatter: Interactive Exploration of Large-Scale Datasets},
  author = {Fritz Lekschas and Trevor Manz},
  journal= {arXiv preprint arXiv:2406.14397},
  year   = {2024}
}
R2 v1 2026-06-28T17:13:34.136Z