Data explorer
Data explorer
Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.
Agency1
Stage
High-impact
Topic1
AI type1
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Agency: DOL · Department of LaborAI type: Classical / predictive MLTopic: Other
Agency × Development stage
13 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 13 | 0 | 100% |
| High-impact designation | 13 | 0 | 100% |
| Topic area | 13 | 0 | 100% |
| AI classification | 13 | 0 | 100% |
| Problem | 13 | 0 | 100% |
| Benefits | 13 | 0 | 100% |
| Outputs | 13 | 0 | 100% |
| Sourcing | 13 | 0 | 100% |
| Start date | 13 | 0 | 100% |
| ATO | 13 | 0 | 100% |
| PII | 13 | 0 | 100% |
| Custom code | 13 | 0 | 100% |
Descriptive statistics
Current filter| Records | 13 |
| Agencies | 1 |
| Records per agency: median | 13 |
| Records per agency: largest | 13 |
| Deployed share | 84.6% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 100% |
| Records with a parseable start date | 100.0% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| DOL | 13 | 85% | 8% | 0 | 0% | 100% | 100% |