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
Topic1
AI type1
Sourcing
Vendor
Function
Start year
Only records with a parseable start date match a year filter.
AI type: Classical / predictive MLmonitoring: affirmativeTopic: Science
Agency × Development stage
23 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 23 | 0 | 100% |
| High-impact designation | 23 | 0 | 100% |
| Topic area | 23 | 0 | 100% |
| AI classification | 23 | 0 | 100% |
| Problem | 23 | 0 | 100% |
| Benefits | 23 | 0 | 100% |
| Outputs | 23 | 0 | 100% |
| Sourcing | 15 | 8 | 65% |
| Start date | 12 | 11 | 52% |
| ATO | 23 | 0 | 100% |
| PII | 23 | 0 | 100% |
| Custom code | 23 | 0 | 100% |
Descriptive statistics
Current filter| Records | 23 |
| Agencies | 1 |
| Records per agency: median | 23 |
| Records per agency: largest | 23 |
| Deployed share | 26.1% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 93% |
| Records with a parseable start date | 52.2% |
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 | 23 | 26% | 26% | 0 | 0% | 100% | 93% |