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
60 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 60 | 0 | 100% |
| High-impact designation | 60 | 0 | 100% |
| Topic area | 60 | 0 | 100% |
| AI classification | 60 | 0 | 100% |
| Problem | 60 | 0 | 100% |
| Benefits | 60 | 0 | 100% |
| Outputs | 60 | 0 | 100% |
| Sourcing | 28 | 32 | 47% |
| Start date | 23 | 37 | 38% |
| ATO | 24 | 36 | 40% |
| PII | 25 | 35 | 42% |
| Custom code | 29 | 31 | 48% |
Descriptive statistics
Current filter| Records | 60 |
| Agencies | 7 |
| Records per agency: median | 4 |
| Records per agency: largest | 21 |
| Deployed share | 25.0% |
| High-impact share (of designated) | 100.0% |
| Mean core-field completeness | 76% |
| Records with a parseable start date | 38.3% |