Data Quality & Schema Health
Automated missing value checks, data type verification, and integrity auditing.
Overall Data Health
98.8%
Ready for feature engineering
Missing Values
1.2%
Automatically imputed by pipeline
Duplicate Rows
0
Unique series records
Column Level Integrity Audit
| Column Name | Data Type | Missing % | Audit Status | Severity |
|---|---|---|---|---|
| date | datetime | 0.0% | Valid | Healthy |
| store_id | string | 0.0% | Valid | Healthy |
| product_id | string | 0.0% | Valid | Healthy |
| units_sold | integer | 0.0% | Valid | Healthy |
| price | float | 0.3% | Imputed | Healthy |
| promotion | integer | 0.0% | Valid | Healthy |
| discount | float | 0.7% | Imputed | Healthy |
| inventory | integer | 1.1% | Imputed | Minor Impute |
Data Integrity Alerts
✓ No critical schema or required column missing errors detected.
⚠ inventory contains 1.1% missing values (Forward-filled automatically).
✓ No duplicate (date, store_id, product_id) series records detected.