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 type
Sourcing
Vendor
Function1
Start year
Only records with a parseable start date match a year filter.
Function: Fraud, waste and improper paymentsfeedback: blanktesting: blank
Agency × Development stage
25 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 24 | 1 | 96% |
| High-impact designation | 22 | 3 | 88% |
| Topic area | 23 | 2 | 92% |
| AI classification | 23 | 2 | 92% |
| Problem | 24 | 1 | 96% |
| Benefits | 20 | 5 | 80% |
| Outputs | 20 | 5 | 80% |
| Sourcing | 10 | 15 | 40% |
| Start date | 7 | 18 | 28% |
| ATO | 8 | 17 | 32% |
| PII | 7 | 18 | 28% |
| Custom code | 10 | 15 | 40% |
Descriptive statistics
Current filter| Records | 25 |
| Agencies | 10 |
| Records per agency: median | 1 |
| Records per agency: largest | 7 |
| Deployed share | 36.0% |
| High-impact share (of designated) | 22.7% |
| Mean core-field completeness | 66% |
| Records with a parseable start date | 28.0% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| HHS | 7 | 14% | 0% | 1 | 29% | 100% | 64% |
| DOJ | 4 | 25% | 0% | 3 | 0% | 0% | 69% |
| DHS | 4 | 75% | 0% | 0 | 25% | 67% | 90% |
| VA | 3 | 33% | 33% | 1 | 33% | 100% | 69% |
| GSA | 2 | 50% | 0% | 0 | 0% | n/a | 33% |
| FDIC | 1 | 100% | 0% | 0 | 0% | 0% | 100% |
| DOL | 1 | 0% | 0% | 0 | 0% | n/a | 17% |
| FERC | 1 | 0% | 0% | 0 | 0% | 100% | 67% |
| TREAS | 1 | 100% | 0% | 0 | 0% | 0% | 100% |
| DOC | 1 | 0% | 0% | 0 | 0% | n/a | 8% |