Select and analyze data subsets
Build, preprocess, and train machine learning models
Classify breast cancer risk based on cell features
Generate images based on data
Finance chatbot using vectara-agentic
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Embed and use ZeroEval for evaluation tasks
Label data for machine learning models
Generate a data profile report
Explore tradeoffs between privacy and fairness in machine learning models
Mapping Nieman Lab's 2025 Journalism Predictions
World warming land sites
Predict linear relationships between numbers
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.