inspect_data_around

Analyze data patterns and relationships around specific coordinates for contextual understanding, data validation, and error investigation in CSV datasets.

Instructions

Inspect data around a specific coordinate for contextual analysis.

Examines the data surrounding a specific cell to understand context, patterns, and relationships. Useful for data validation, error investigation, and understanding local data patterns.

Returns: Contextual view of data around the specified coordinates

Inspection Features: 📍 Center Point: Specified cell as reference point 🔍 Radius View: Configurable area around center cell 📊 Data Context: Surrounding values for pattern analysis 🎯 Coordinates: Clear row/column reference system

Examples: # Inspect around a specific data point context = await inspect_data_around(ctx, row=50, column_name="price", radius=3)

# Minimal context view context = await inspect_data_around(ctx, row=10, column_name="status", radius=1)

AI Workflow Integration: 1. Error investigation and data quality assessment 2. Pattern recognition in local data areas 3. Understanding data relationships and context 4. Validation of data transformations and corrections

Input Schema

Name	Required	Description
`row`	Yes	Row index to center the inspection (0-based)
`column_name`	Yes	Name of the column to center on
`radius`	No	Number of rows/columns to include around center point

Input Schema (JSON Schema)

{ "properties": { "column_name": { "description": "Name of the column to center on", "type": "string" }, "radius": { "default": 2, "description": "Number of rows/columns to include around center point", "type": "integer" }, "row": { "description": "Row index to center the inspection (0-based)", "type": "integer" } }, "required": [ "row", "column_name" ], "type": "object" }

DataBeak