تقرير
Jupyter Scatter: Interactive Exploration of Large-Scale Datasets
| العنوان: | Jupyter Scatter: Interactive Exploration of Large-Scale Datasets |
|---|---|
| المؤلفون: | Lekschas, Fritz, Manz, Trevor |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Human-Computer Interaction |
| الوصف: | 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. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.14397 |
| رقم الأكسشن: | edsarx.2406.14397 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |