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Node Inputs

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Required Fields

CSV / XLSX File:
The datasource created with the file. Supported formats: .csv and .xlsx.
Example: "sales_data.xlsx"

Instructions:
Specify the type of analysis or task to be performed on the data. You can include dynamic variables ({{myVariable}}) for customization.
Example: "Provide a summary of total sales by region and highlight anomalies."

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Optional Fields

Input Data 1:
Additional contextual data to supplement the analysis.
Example: "Historical data for comparison."

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Node AI Settings

Model:
The AI model used for data analysis.
Example: "OPENAI - gpt-4o-2024-05-13"

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Node Output

Output:
The analysis results in a structured or natural language format, depending on the instructions.
Example Output:

{
  "summary": "Total sales by region: North - $500,000, South - $300,000.",
  "anomalies": ["South region had a 20% decrease compared to last quarter."]
}

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Node Functionality

The Data Analyzer node:

  • Reads and interprets structured data from CSV or XLSX files.
  • Performs advanced analyses such as summaries, anomaly detection, trend identification, and comparisons.
  • Provides actionable insights based on user-defined instructions.
  • Outputs results in a readable format, with options for JSON or plain text.