Analyze data using Pandas Profiling
Filter and view AI model leaderboard data
VLMEvalKit Evaluation Results Collection
Display competition information and manage submissions
Parse bilibili bvid to aid / cid
Explore and submit NER models
Explore and filter model evaluation results
Cluster data points using KMeans
Generate synthetic dataset files (JSON Lines)
Execute commands and visualize data
Browse LLM benchmark results in various categories
Compare classifier performance on datasets
Explore how datasets shape classifier biases
4junctions is a data visualization tool designed to help users analyze datasets efficiently. It leverages Pandas Profiling, a powerful library for generating summary statistics and visualizations. With 4junctions, you can gain deeper insights into your data through automated analysis and interactive visualizations.
• Comprehensive Data Analysis: Generate detailed summary statistics for your datasets. • Visualizations: Create interactive and informative charts to understand data distribution, correlations, and trends. • Missing Data Analysis: Identify patterns and anomalies in missing values within your dataset. • Correlation Analysis: Understand relationships between different variables in your data. • Exportable Reports: Save and share analysis results for further review or collaboration.
What types of data can 4junctions handle?
4junctions supports various data formats, including CSV, Excel, and Pandas DataFrames, making it versatile for different datasets.
Is 4junctions suitable for large datasets?
Yes, 4junctions is optimized to handle large datasets, though performance may vary depending on the size and complexity of the data.
Can I customize the visualizations?
Yes, 4junctions allows customization of visualizations to meet specific analysis needs, enabling users to focus on key insights.