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 × Development stage
85 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 85 | 0 | 100% |
| High-impact designation | 85 | 0 | 100% |
| Topic area | 85 | 0 | 100% |
| AI classification | 85 | 0 | 100% |
| Problem | 85 | 0 | 100% |
| Benefits | 85 | 0 | 100% |
| Outputs | 85 | 0 | 100% |
| Sourcing | 85 | 0 | 100% |
| Start date | 29 | 56 | 34% |
| ATO | 29 | 56 | 34% |
| PII | 29 | 56 | 34% |
| Custom code | 85 | 0 | 100% |
Descriptive statistics
Current filter| Records | 85 |
| Agencies | 5 |
| Records per agency: median | 11 |
| Records per agency: largest | 56 |
| Deployed share | 100.0% |
| High-impact share (of designated) | 100.0% |
| Mean core-field completeness | 84% |
| Records with a parseable start date | 34.1% |