Visualize dataset distributions with facets
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Browse and filter LLM benchmark results
Browse LLM benchmark results in various categories
Browse and filter AI model evaluation results
Browse and compare Indic language LLMs on a leaderboard
Generate financial charts from stock data
Generate a detailed dataset report
Explore token probability distributions with sliders
Analyze autism data and generate detailed reports
statistics analysis for linear regression
VLMEvalKit Evaluation Results Collection
Generate images based on data
Facets Overview is a powerful data visualization tool designed to help users better understand their datasets by breaking them down into smaller, manageable parts called facets. It provides insights into how data is distributed across different variables, making it easier to identify patterns, outliers, and relationships within the data.
What libraries or frameworks are required to use Facets Overview?
Facets Overview typically requires TensorFlow and TensorFlow Facets libraries, along with standard data manipulation tools like Pandas.
Can I use Facets Overview with any type of data?
Yes, Facets Overview supports categorical, numerical, and image data, making it versatile for various datasets.
How do I handle large datasets with Facets Overview?
For large datasets, use sampling or data aggregation techniques to improve performance while maintaining meaningful visualizations.
Is Facets Overview suitable for real-time data analysis?
While Facets Overview is primarily designed for offline analysis, it can handle near real-time data with proper setup and optimizations.