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vizro-mcp

Official
by mckinsey
GitHub
Python
Apache 2.0
2,921
  • Apple
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load_and_analyze_data

Load and analyze data from CSV, JSON, Excel, and other formats into a pandas DataFrame with detailed insights and metadata. Simplify data exploration for structured analysis.

Instructions

Load data from various file formats into a pandas DataFrame and analyze its structure.

Supported formats: - CSV (.csv) - JSON (.json) - HTML (.html, .htm) - Excel (.xls, .xlsx) - OpenDocument Spreadsheet (.ods) - Parquet (.parquet) Args: path_or_url: Local file path or URL to a data file Returns: DataAnalysisResults object containing DataFrame information and metadata

Input Schema

NameRequiredDescriptionDefault
path_or_urlYes

Input Schema (JSON Schema)

{ "properties": { "path_or_url": { "title": "Path Or Url", "type": "string" } }, "required": [ "path_or_url" ], "title": "load_and_analyze_dataArguments", "type": "object" }

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