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
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AI type1
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Only records with a parseable start date match a year filter.
Agency: DHS · Department of Homeland SecurityAI type: Classical / predictive ML
Agency × Development stage
57 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 57 | 0 | 100% |
| High-impact designation | 57 | 0 | 100% |
| Topic area | 57 | 0 | 100% |
| AI classification | 57 | 0 | 100% |
| Problem | 57 | 0 | 100% |
| Benefits | 57 | 0 | 100% |
| Outputs | 57 | 0 | 100% |
| Sourcing | 42 | 15 | 74% |
| Start date | 42 | 15 | 74% |
| ATO | 42 | 15 | 74% |
| PII | 42 | 15 | 74% |
| Custom code | 42 | 15 | 74% |
Descriptive statistics
Current filter| Records | 57 |
| Agencies | 1 |
| Records per agency: median | 57 |
| Records per agency: largest | 57 |
| Deployed share | 71.9% |
| High-impact share (of designated) | 22.8% |
| Mean core-field completeness | 89% |
| Records with a parseable start date | 73.7% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| DHS | 57 | 72% | 2% | 13 | 0% | 76% | 89% |