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-impact1
Topic
AI type1
Sourcing
Vendor
Function
Start year
Only records with a parseable start date match a year filter.
Agency: FRB · Federal Reserve BoardAI type: Classical / predictive MLHigh-impact: Not high-impact
Agency × Development stage
16 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 16 | 0 | 100% |
| High-impact designation | 16 | 0 | 100% |
| Topic area | 16 | 0 | 100% |
| AI classification | 16 | 0 | 100% |
| Problem | 16 | 0 | 100% |
| Benefits | 16 | 0 | 100% |
| Outputs | 16 | 0 | 100% |
| Sourcing | 9 | 7 | 56% |
| Start date | 9 | 7 | 56% |
| ATO | 9 | 7 | 56% |
| PII | 9 | 7 | 56% |
| Custom code | 9 | 7 | 56% |
Descriptive statistics
Current filter| Records | 16 |
| Agencies | 1 |
| Records per agency: median | 16 |
| Records per agency: largest | 16 |
| Deployed share | 31.3% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 82% |
| Records with a parseable start date | 56.3% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| FRB | 16 | 31% | 25% | 0 | 0% | 100% | 82% |