Plots

Overview

The Plots component enables direct visualization of quantitative and categorical features in your Mantis space. Working across bags, clusters, or any selection, plots reveal distributions, relationships, and outliers for deeper data understanding.

Purpose

• Visualize quantitative and categorical feature distributions across your data.
• Compare bags, clusters, or user selections for group-level differences.
• Identify outliers, trends, or feature-based separations.
• Support decision-making through clear, interactive data visualizations.
• Provide a foundation for downstream analysis, bag creation, or agent-driven summaries.

Key Features

• Flexible Plot Types: Supports histograms, scatter plots, KDEs, and categorical charts.
• Interactive Selection: Users can lasso or select regions to create new bags or refine analysis.
• Overlay and Compare: Multiple bags or clusters can be visualized together for side-by-side comparison.
• Customizable Encoding: Adjust colors, shapes, or groupings based on feature or metadata.
• Agent Collaboration: Plots integrate with agents for statistical tests, summaries, or further plotting.
• Real-Time Updates: Plots instantly reflect changes in filters, selections, or underlying data.

Tips

• Select bag before starting controls
• Use plots early to get a sense of feature spread and possible separations.
• Overlay multiple bags/clusters to check for differences or overlaps.
• Select plot regions to rapidly bag and annotate outlier or interesting points.