Data explorer
Data explorer
Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.
Agency
Stage
High-impact
Topic
AI type1
Sourcing
Vendor
Function1
Start year
Only records with a parseable start date match a year filter.
AI type: Classical / predictive MLFunction: Forecasting and predictionmonitoring: blank
Agency × Development stage
78 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 78 | 0 | 100% |
| High-impact designation | 77 | 1 | 99% |
| Topic area | 78 | 0 | 100% |
| AI classification | 78 | 0 | 100% |
| Problem | 78 | 0 | 100% |
| Benefits | 75 | 3 | 96% |
| Outputs | 77 | 1 | 99% |
| Sourcing | 45 | 33 | 58% |
| Start date | 42 | 36 | 54% |
| ATO | 47 | 31 | 60% |
| PII | 48 | 30 | 62% |
| Custom code | 51 | 27 | 65% |
Descriptive statistics
Current filter| Records | 78 |
| Agencies | 14 |
| Records per agency: median | 5 |
| Records per agency: largest | 17 |
| Deployed share | 34.6% |
| High-impact share (of designated) | 10.4% |
| Mean core-field completeness | 83% |
| Records with a parseable start date | 53.8% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| DOI | 17 | 18% | 47% | 0 | 0% | 92% | 95% |
| NASA | 13 | 0% | 8% | 0 | 0% | 100% | 62% |
| HHS | 9 | 56% | 22% | 0 | 0% | 100% | 91% |
| DOE | 7 | 14% | 43% | 2 | 0% | 75% | 82% |
| DHS | 6 | 83% | 0% | 1 | 0% | 80% | 93% |
| USDA | 5 | 20% | 40% | 0 | 0% | 100% | 83% |
| VA | 5 | 40% | 0% | 4 | 0% | 100% | 65% |
| TREAS | 5 | 60% | 0% | 0 | 0% | 100% | 85% |
| FHFA | 3 | 100% | 0% | 0 | 0% | 33% | 100% |
| FRB | 2 | 50% | 50% | 0 | 0% | 100% | 100% |
| DOT | 2 | 0% | 0% | 0 | 0% | 100% | 67% |
| DOJ | 2 | 50% | 0% | 0 | 0% | 0% | 79% |
| GSA | 1 | 100% | 0% | 0 | 0% | n/a | 33% |
| NCUA | 1 | 100% | 0% | 1 | 0% | 100% | 100% |