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
74 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 74 | 0 | 100% |
| High-impact designation | 74 | 0 | 100% |
| Topic area | 74 | 0 | 100% |
| AI classification | 74 | 0 | 100% |
| Problem | 74 | 0 | 100% |
| Benefits | 74 | 0 | 100% |
| Outputs | 74 | 0 | 100% |
| Sourcing | 65 | 9 | 88% |
| Start date | 58 | 16 | 78% |
| ATO | 74 | 0 | 100% |
| PII | 74 | 0 | 100% |
| Custom code | 74 | 0 | 100% |
Descriptive statistics
Current filter| Records | 74 |
| Agencies | 6 |
| Records per agency: median | 6 |
| Records per agency: largest | 34 |
| Deployed share | 32.4% |
| High-impact share (of designated) | 10.8% |
| Mean core-field completeness | 97% |
| Records with a parseable start date | 78.4% |