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
16 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 16 | 0 | 100% |
| High-impact designation | 16 | 0 | 100% |
| Topic area | 16 | 0 | 100% |
| AI classification | 16 | 0 | 100% |
| Problem | 16 | 0 | 100% |
| Benefits | 16 | 0 | 100% |
| Outputs | 16 | 0 | 100% |
| Sourcing | 16 | 0 | 100% |
| Start date | 7 | 9 | 44% |
| ATO | 7 | 9 | 44% |
| PII | 7 | 9 | 44% |
| Custom code | 16 | 0 | 100% |
Descriptive statistics
Current filter| Records | 16 |
| Agencies | 6 |
| Records per agency: median | 1 |
| Records per agency: largest | 9 |
| Deployed share | 93.8% |
| High-impact share (of designated) | 75.0% |
| Mean core-field completeness | 86% |
| Records with a parseable start date | 43.8% |