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
24 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 24 | 0 | 100% |
| High-impact designation | 24 | 0 | 100% |
| Topic area | 24 | 0 | 100% |
| AI classification | 24 | 0 | 100% |
| Problem | 24 | 0 | 100% |
| Benefits | 24 | 0 | 100% |
| Outputs | 24 | 0 | 100% |
| Sourcing | 15 | 9 | 63% |
| Start date | 14 | 10 | 58% |
| ATO | 14 | 10 | 58% |
| PII | 14 | 10 | 58% |
| Custom code | 15 | 9 | 63% |
Descriptive statistics
Current filter| Records | 24 |
| Agencies | 8 |
| Records per agency: median | 2 |
| Records per agency: largest | 10 |
| Deployed share | 50.0% |
| High-impact share (of designated) | 12.5% |
| Mean core-field completeness | 83% |
| Records with a parseable start date | 58.3% |