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
9 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 9 | 0 | 100% |
| High-impact designation | 8 | 1 | 89% |
| Topic area | 9 | 0 | 100% |
| AI classification | 9 | 0 | 100% |
| Problem | 9 | 0 | 100% |
| Benefits | 8 | 1 | 89% |
| Outputs | 8 | 1 | 89% |
| Sourcing | 4 | 5 | 44% |
| Start date | 3 | 6 | 33% |
| ATO | 3 | 6 | 33% |
| PII | 3 | 6 | 33% |
| Custom code | 4 | 5 | 44% |
Descriptive statistics
Current filter| Records | 9 |
| Agencies | 6 |
| Records per agency: median | 1 |
| Records per agency: largest | 3 |
| Deployed share | 22.2% |
| High-impact share (of designated) | 12.5% |
| Mean core-field completeness | 71% |
| Records with a parseable start date | 33.3% |