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
17 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 17 | 0 | 100% |
| High-impact designation | 17 | 0 | 100% |
| Topic area | 17 | 0 | 100% |
| AI classification | 17 | 0 | 100% |
| Problem | 17 | 0 | 100% |
| Benefits | 13 | 4 | 76% |
| Outputs | 17 | 0 | 100% |
| Sourcing | 8 | 9 | 47% |
| Start date | 8 | 9 | 47% |
| ATO | 8 | 9 | 47% |
| PII | 6 | 11 | 35% |
| Custom code | 10 | 7 | 59% |
Descriptive statistics
Current filter| Records | 17 |
| Agencies | 6 |
| Records per agency: median | 1 |
| Records per agency: largest | 6 |
| Deployed share | 29.4% |
| High-impact share (of designated) | 11.8% |
| Mean core-field completeness | 76% |
| Records with a parseable start date | 47.1% |