Select and analyze data subsets
Generate plots for GP and PFN posterior approximations
M-RewardBench Leaderboard
Compare classifier performance on datasets
Execute commands and visualize data
statistics analysis for linear regression
Check system health
Try the Hugging Face API through the playground
Analyze data using Pandas Profiling
Predict linear relationships between numbers
Generate images based on data
Search and save datasets generated with a LLM in real time
Build, preprocess, and train machine learning models
Selector is a data visualization tool designed to help users select and analyze subsets of data. It allows users to focus on specific data points within larger datasets, enabling deeper insights and more precise analysis. With Selector, users can easily isolate and examine relevant information, making it an essential tool for data-driven decision-making.
• Interactive Data Filtering: Quickly narrow down datasets to focus on specific criteria.
• Customizable Visualizations: Generate charts, graphs, and other visual representations of selected data.
• Precision Selection: Zoom in on specific data points for detailed analysis.
• Drag-and-Drop Functionality: Easily import and manipulate datasets.
• Real-Time Analytics: Get instant insights from selected data subsets.
1. What file formats does Selector support?
Selector supports popular data formats such as CSV, Excel, and JSON.
2. Can I analyze data in real-time with Selector?
Yes, Selector provides real-time analytics, allowing you to gain insights instantly from selected data subsets.
3. How do I customize visualizations in Selector?
You can customize visualizations by selecting chart types, adjusting colors, and modifying other visual properties within the tool.