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
140 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 140 | 0 | 100% |
| High-impact designation | 140 | 0 | 100% |
| Topic area | 140 | 0 | 100% |
| AI classification | 140 | 0 | 100% |
| Problem | 109 | 31 | 78% |
| Benefits | 140 | 0 | 100% |
| Outputs | 109 | 31 | 78% |
| Sourcing | 140 | 0 | 100% |
| Start date | 139 | 1 | 99% |
| ATO | 140 | 0 | 100% |
| PII | 140 | 0 | 100% |
| Custom code | 140 | 0 | 100% |
Descriptive statistics
Current filter| Records | 140 |
| Agencies | 5 |
| Records per agency: median | 17 |
| Records per agency: largest | 75 |
| Deployed share | 82.1% |
| High-impact share (of designated) | 58.6% |
| Mean core-field completeness | 96% |
| Records with a parseable start date | 99.3% |