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
51 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 51 | 0 | 100% |
| High-impact designation | 50 | 1 | 98% |
| Topic area | 51 | 0 | 100% |
| AI classification | 51 | 0 | 100% |
| Problem | 51 | 0 | 100% |
| Benefits | 50 | 1 | 98% |
| Outputs | 50 | 1 | 98% |
| Sourcing | 27 | 24 | 53% |
| Start date | 18 | 33 | 35% |
| ATO | 19 | 32 | 37% |
| PII | 19 | 32 | 37% |
| Custom code | 28 | 23 | 55% |
Descriptive statistics
Current filter| Records | 51 |
| Agencies | 9 |
| Records per agency: median | 4 |
| Records per agency: largest | 16 |
| Deployed share | 41.2% |
| High-impact share (of designated) | 26.0% |
| Mean core-field completeness | 76% |
| Records with a parseable start date | 35.3% |