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
64 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 64 | 0 | 100% |
| High-impact designation | 64 | 0 | 100% |
| Topic area | 64 | 0 | 100% |
| AI classification | 64 | 0 | 100% |
| Problem | 64 | 0 | 100% |
| Benefits | 64 | 0 | 100% |
| Outputs | 64 | 0 | 100% |
| Sourcing | 25 | 39 | 39% |
| Start date | 23 | 41 | 36% |
| ATO | 26 | 38 | 41% |
| PII | 26 | 38 | 41% |
| Custom code | 26 | 38 | 41% |
Descriptive statistics
Current filter| Records | 64 |
| Agencies | 7 |
| Records per agency: median | 6 |
| Records per agency: largest | 29 |
| Deployed share | 7.8% |
| High-impact share (of designated) | 6.3% |
| Mean core-field completeness | 75% |
| Records with a parseable start date | 35.9% |