Data Analysis
Performs comprehensive statistical data analysis, including time series, correlation, causality, and quality checks, through a RESTful API.
소개
The Data Analysis toolset is a professional suite designed for industrial data analysis, offering a wide array of statistical methods. Built on a FastAPI-MCP architecture, it provides RESTful APIs for easy integration into various systems. This tool facilitates deep insights into data trends, quality, and relationships, supporting tasks from exploratory data analysis and statistical modeling to real-time industrial monitoring and anomaly detection. It's optimized for scenarios requiring robust time series analysis, causality investigation, and data quality assessment, particularly valuable for minute-level industrial data.
주요 기능
- Correlation Analysis (Pearson, Spearman, Kendall)
- 1 GitHub stars
- Time Series Analysis (Stationarity, Forecasting, Similarity)
- Causal Relationship Analysis (Granger, Cross-correlation for two-variable and multi-variable)
- Outlier Detection and Distribution Analysis
- RESTful API with robust data validation and error handling
사용 사례
- Process parameter correlation and production data quality assessment
- Industrial equipment monitoring and anomaly detection
- Exploratory data analysis and statistical modeling pre-processing
