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
37 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 37 | 0 | 100% |
| High-impact designation | 37 | 0 | 100% |
| Topic area | 37 | 0 | 100% |
| AI classification | 37 | 0 | 100% |
| Problem | 37 | 0 | 100% |
| Benefits | 37 | 0 | 100% |
| Outputs | 37 | 0 | 100% |
| Sourcing | 16 | 21 | 43% |
| Start date | 15 | 22 | 41% |
| ATO | 23 | 14 | 62% |
| PII | 23 | 14 | 62% |
| Custom code | 23 | 14 | 62% |
Descriptive statistics
Current filter| Records | 37 |
| Agencies | 5 |
| Records per agency: median | 7 |
| Records per agency: largest | 17 |
| Deployed share | 21.6% |
| High-impact share (of designated) | 5.4% |
| Mean core-field completeness | 81% |
| Records with a parseable start date | 40.5% |