MCP Dataset Onboarding Server

# Dataset Processing Report ## Dataset Information - **Filename**: script_job_142b8bf386034fd1628b2023de212fb7_0.csv - **Rows**: 1 - **Columns**: 6 - **Processing Date**: 2025-07-26 15:11:41 ## Column Details | Column Name | Data Type | Null Count | Null % | Unique Count | Min Value | Max Value | Mean | |-------------|-----------|------------|--------|--------------|-----------|-----------|------| | mean_absolute_error | float64 | 0 | 0.0% | 1 | 0.4941 | 0.4941 | 0.4941 | | mean_squared_error | float64 | 0 | 0.0% | 1 | 17.7826 | 17.7826 | 17.7826 | | mean_squared_log_error | float64 | 0 | 0.0% | 1 | 0.0859 | 0.0859 | 0.0859 | | median_absolute_error | float64 | 0 | 0.0% | 1 | 0.1742 | 0.1742 | 0.1742 | | r2_score | float64 | 0 | 0.0% | 1 | 0.0092 | 0.0092 | 0.0092 | | explained_variance | float64 | 0 | 0.0% | 1 | 0.0181 | 0.0181 | 0.0181 | ## Data Quality Summary - **Total Rules**: 18 - **Error Rules**: 6 - **Warning Rules**: 12 ## Data Quality Rules - 🔴 **NOT_NULL**: Column 'mean_absolute_error' should not contain null values - 🟡 **UNIQUE**: Column 'mean_absolute_error' should contain unique values - 🟡 **RANGE**: Column 'mean_absolute_error' values should be between 0.4940700979929911 and 0.4940700979929911 - 🔴 **NOT_NULL**: Column 'mean_squared_error' should not contain null values - 🟡 **UNIQUE**: Column 'mean_squared_error' should contain unique values - 🟡 **RANGE**: Column 'mean_squared_error' values should be between 17.782610464656457 and 17.782610464656457 - 🔴 **NOT_NULL**: Column 'mean_squared_log_error' should not contain null values - 🟡 **UNIQUE**: Column 'mean_squared_log_error' should contain unique values - 🟡 **RANGE**: Column 'mean_squared_log_error' values should be between 0.0859107107687808 and 0.0859107107687808 - 🔴 **NOT_NULL**: Column 'median_absolute_error' should not contain null values - 🟡 **UNIQUE**: Column 'median_absolute_error' should contain unique values - 🟡 **RANGE**: Column 'median_absolute_error' values should be between 0.1742337942123413 and 0.1742337942123413 - 🔴 **NOT_NULL**: Column 'r2_score' should not contain null values - 🟡 **UNIQUE**: Column 'r2_score' should contain unique values - 🟡 **RANGE**: Column 'r2_score' values should be between 0.0091867740833386 and 0.0091867740833386 - 🔴 **NOT_NULL**: Column 'explained_variance' should not contain null values - 🟡 **UNIQUE**: Column 'explained_variance' should contain unique values - 🟡 **RANGE**: Column 'explained_variance' values should be between 0.0181301156989388 and 0.0181301156989388 ## Column Quality Metrics - **mean_absolute_error**: 100.0% complete, 100.0% unique - **mean_squared_error**: 100.0% complete, 100.0% unique - **mean_squared_log_error**: 100.0% complete, 100.0% unique - **median_absolute_error**: 100.0% complete, 100.0% unique - **r2_score**: 100.0% complete, 100.0% unique - **explained_variance**: 100.0% complete, 100.0% unique ## Files Generated - `script_job_142b8bf386034fd1628b2023de212fb7_0.csv` - Original dataset - `script_job_142b8bf386034fd1628b2023de212fb7_0_metadata.json` - Detailed metadata - `script_job_142b8bf386034fd1628b2023de212fb7_0_contract.xlsx` - Data contract with schema and DQ rules - `script_job_142b8bf386034fd1628b2023de212fb7_0_dq_report.json` - Comprehensive data quality report - `README.md` - This summary document ## Usage This dataset has been processed through the MCP Dataset Onboarding pipeline. All artifacts are ready for catalog publication or further analysis.