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
15 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 15 | 0 | 100% |
| High-impact designation | 15 | 0 | 100% |
| Topic area | 15 | 0 | 100% |
| AI classification | 15 | 0 | 100% |
| Problem | 15 | 0 | 100% |
| Benefits | 15 | 0 | 100% |
| Outputs | 15 | 0 | 100% |
| Sourcing | 12 | 3 | 80% |
| Start date | 10 | 5 | 67% |
| ATO | 10 | 5 | 67% |
| PII | 10 | 5 | 67% |
| Custom code | 12 | 3 | 80% |
Descriptive statistics
Current filter| Records | 15 |
| Agencies | 3 |
| Records per agency: median | 5 |
| Records per agency: largest | 9 |
| Deployed share | 80.0% |
| High-impact share (of designated) | 66.7% |
| Mean core-field completeness | 88% |
| Records with a parseable start date | 66.7% |