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get_data_summary

Analyze dataset structure, dimensions, data types, and memory usage to understand data characteristics for exploration and analysis planning.

Instructions

Get comprehensive data overview and structural summary.

Provides high-level overview of dataset structure, dimensions, data types, and memory usage. Essential first step in data exploration and analysis planning workflows.

Returns: Comprehensive data overview with structural information

Summary Components: šŸ“ Dimensions: Rows, columns, shape information šŸ”¢ Data Types: Column type distribution and analysis šŸ’¾ Memory Usage: Resource consumption breakdown šŸ‘€ Preview: Sample rows for quick data understanding (optional) šŸ“Š Overview: High-level dataset characteristics

Examples: # Full data summary with preview summary = await get_data_summary(ctx)

# Structure summary without preview data summary = await get_data_summary(ctx, include_preview=False)

AI Workflow Integration: 1. Initial data exploration and understanding 2. Planning analytical approaches based on data structure 3. Resource planning for large dataset processing 4. Data quality initial assessment

Input Schema

NameRequiredDescriptionDefault
include_previewYesInclude sample data rows in summary
max_preview_rowsYesMaximum number of preview rows to include

Input Schema (JSON Schema)

{ "properties": { "include_preview": { "description": "Include sample data rows in summary", "type": "boolean" }, "max_preview_rows": { "description": "Maximum number of preview rows to include", "type": "integer" } }, "required": [ "include_preview", "max_preview_rows" ], "type": "object" }

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