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
Topic
AI type1
Sourcing
Vendor
Function
Start year
Only records with a parseable start date match a year filter.
Agency: FDIC · Federal Deposit Insurance CorporationAI type: Classical / predictive ML
Agency × Development stage
15 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 15 | 0 | 100% |
| High-impact designation | 15 | 0 | 100% |
| Topic area | 15 | 0 | 100% |
| AI classification | 15 | 0 | 100% |
| Problem | 15 | 0 | 100% |
| Benefits | 15 | 0 | 100% |
| Outputs | 15 | 0 | 100% |
| Sourcing | 5 | 10 | 33% |
| Start date | 4 | 11 | 27% |
| ATO | 5 | 10 | 33% |
| PII | 5 | 10 | 33% |
| Custom code | 5 | 10 | 33% |
Descriptive statistics
Current filter| Records | 15 |
| Agencies | 1 |
| Records per agency: median | 15 |
| Records per agency: largest | 15 |
| Deployed share | 26.7% |
| High-impact share (of designated) | 6.7% |
| Mean core-field completeness | 72% |
| Records with a parseable start date | 26.7% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| FDIC | 15 | 27% | 7% | 1 | 0% | 60% | 72% |