load_and_analyze_data
Analyze and extract insights from data files stored locally or remotely. Supports CSV, JSON, Excel, Parquet, and more. Input absolute file paths or URLs to retrieve DataFrame information and metadata.
Instructions
Use to understand local or remote data files. Must be called with absolute paths or URLs.
Supported formats:
- CSV (.csv)
- JSON (.json)
- HTML (.html, .htm)
- Excel (.xls, .xlsx)
- OpenDocument Spreadsheet (.ods)
- Parquet (.parquet)
Args:
path_or_url: Absolute (important!) local file path or URL to a data file
Returns:
DataAnalysisResults object containing DataFrame information and metadata
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path_or_url | Yes |
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"
}