Analyze data to generate a comprehensive profile report
Explore and filter model evaluation results
Create detailed data reports
Search for tagged characters in Animagine datasets
M-RewardBench Leaderboard
Transfer GitHub repositories to Hugging Face Spaces
Embed and use ZeroEval for evaluation tasks
Multilingual metrics for the LMSys Arena Leaderboard
Analyze and visualize your dataset using AI
Profile a dataset and publish the report on Hugging Face
Classify breast cancer risk based on cell features
Analyze data using Pandas Profiling
Visualize dataset distributions with facets
Big is a powerful data visualization tool designed to help users analyze and interpret complex data sets. By leveraging advanced analytics, Big transforms raw data into actionable insights, presenting them in an intuitive and visually appealing manner. It is an essential solution for businesses, researchers, and professionals seeking to uncover patterns, trends, and correlations within their data.
• Interactive Dashboards: Create customizable dashboards to monitor key metrics in real-time.
• Advanced Analytics: Perform sophisticated data analysis to identify trends and forecast outcomes.
• Multiple Visualization Options: Choose from a variety of charts, graphs, and maps to represent data effectively.
• Cross-Platform Compatibility: Access Big on desktop, mobile, or through APIs for seamless integration.
• Collaboration Tools: Share insights and work with teams using built-in collaboration features.
Pro Tip: Use Big's advanced filtering options to narrow down data and focus on specific insights.
What types of data can Big handle?
Big supports a wide range of data formats, including CSV, Excel, JSON, and SQL databases. It is also compatible with cloud-based data sources like Google BigQuery and AWS S3.
How can I customize the visualizations in Big?
Big offers a variety of customization options, such as color schemes, fonts, and interactive elements. You can also create custom templates to suit your needs.
Is Big suitable for team collaboration?
Yes, Big provides robust collaboration features, including real-time sharing, commenting, and role-based access control. This makes it an ideal tool for teams working on data-driven projects.