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
35 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 35 | 0 | 100% |
| High-impact designation | 35 | 0 | 100% |
| Topic area | 34 | 1 | 97% |
| AI classification | 34 | 1 | 97% |
| Problem | 34 | 1 | 97% |
| Benefits | 34 | 1 | 97% |
| Outputs | 34 | 1 | 97% |
| Sourcing | 18 | 17 | 51% |
| Start date | 13 | 22 | 37% |
| ATO | 14 | 21 | 40% |
| PII | 14 | 21 | 40% |
| Custom code | 19 | 16 | 54% |
Descriptive statistics
Current filter| Records | 35 |
| Agencies | 8 |
| Records per agency: median | 2 |
| Records per agency: largest | 12 |
| Deployed share | 40.0% |
| High-impact share (of designated) | 51.4% |
| Mean core-field completeness | 76% |
| Records with a parseable start date | 37.1% |