Display color charts and diagrams
Explore and filter model evaluation results
Explore how datasets shape classifier biases
Explore token probability distributions with sliders
Evaluate LLMs using Kazakh MC tasks
Browse and submit evaluation results for AI benchmarks
Explore tradeoffs between privacy and fairness in machine learning models
Monitor application health
Display a welcome message on a webpage
Predict linear relationships between numbers
Explore speech recognition model performance
Generate a data profile report
Leaderboard for text-to-video generation models
📊Graph Vis is a data visualization tool designed to transform raw data into clear and actionable insights through interactive and visually appealing charts and diagrams.
• Multiple Chart Types: Create bar charts, line charts, pie charts, and more to visualize your data effectively. • Color Customization: Use vibrant colors to differentiate data points and enhance readability. • Interactive Visualizations: Zoom in, hover over data points for details, and explore your data interactively. • Export Options: Save and share your visualizations as images or PDFs for presentations and reports. • Data Import: Easily import data from CSV, Excel, and other formats.
1. How do I import data into 📊Graph Vis?
You can import data by clicking on the "Import Data" button and selecting your file type (CSV, Excel, etc.) from the dropdown menu.
2. Can I customize the colors of my charts?
Yes, 📊Graph Vis allows you to customize chart colors by selecting from a predefined palette or entering custom hex codes.
3. What types of data can 📊Graph Vis handle?
📊Graph Vis is optimized for structured data, including numeric and categorical data. It works best with datasets that can be represented in tables or spreadsheets.