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Python Agent

The Python agent is designed to handle more complex data analysis tasks that go beyond basic SQL queries and visualizations. The Python agent is utilized for complex data manipulation tasks that exceed the capabilities of standard SQL queries. Such tasks include generating machine learning code for rapid testing, performing dimensionality reduction using PCA, and conducting anomaly detection with statistical models. Here's a breakdown of its purpose and capabilities:

Purpose​

  • To perform sophisticated data analysis tasks using Python code generation and execution

    • Advanced statistical analysis.

    • Other data science operations.

Key Features​

  • Python-based processing: Leverages the power of Python and its data science libraries (e.g., Pandas, Scikit-learn) to perform complex computations.

  • Forecasting and prediction: Enables users to generate forecasts and predictions based on historical data. For example, predicting future trends in billed amounts.

  • Model application: Allows the application of various data science models to analyze data and derive insights.

  • Complements DCA and BI agents: Extends the capabilities of the DCA and BI agents by providing more advanced analytical tools.

Use cases​

  • Performing in-depth statistical analysis.

  • Automating complex data analysis workflows.