Intelligent Deep Data Analysis Tool

The Data Analysis Tool is an AI-powered deep automated data exploration tool built on frontend visualization technologies (ECharts + Tailwind CSS). It rapidly extracts statistical features, data quality metrics, numerical distributions, outlier detection, categorical information, correlations, rankings, and time series trends. The latter half of the report supplements these with anomaly overviews, attribution clues, and summary recommendations, producing highly polished and interactive web-based analysis reports. Supported formats include CSV, Excel (.xlsx/.xls), and TSV.

The report follows a structure of "foundational data analysis in the first half, anomaly detection and attribution enhancement in the second half." Core sections include: Executive Summary, Data Overview & Quality Check, Numerical Distribution Features, Feature Analysis & Structural Analysis, Relationship Analysis & Anomaly Identification, Data Anomaly Overview, Attribution Analysis Module, Analysis Results & Statistical Details, Root Cause Inference / Conclusions / Recommendations.

Core Workflow (Required Reading for LLMs)

As an AI assistant, when a user uploads a CSV or Excel file and requests analysis, you must strictly follow these two steps:

Step 1: Extract Data Features (Execute Script)

Use the execute_skill_script_file tool to run csv_analyzer.py, passing in the data file path (supports .csv, .xlsx, .xls, .tsv formats).