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
25 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 25 | 0 | 100% |
| High-impact designation | 25 | 0 | 100% |
| Topic area | 25 | 0 | 100% |
| AI classification | 25 | 0 | 100% |
| Problem | 25 | 0 | 100% |
| Benefits | 25 | 0 | 100% |
| Outputs | 25 | 0 | 100% |
| Sourcing | 10 | 15 | 40% |
| Start date | 10 | 15 | 40% |
| ATO | 9 | 16 | 36% |
| PII | 9 | 16 | 36% |
| Custom code | 9 | 16 | 36% |
Descriptive statistics
Current filter| Records | 25 |
| Agencies | 8 |
| Records per agency: median | 1 |
| Records per agency: largest | 11 |
| Deployed share | 8.0% |
| High-impact share (of designated) | 4.0% |
| Mean core-field completeness | 74% |
| Records with a parseable start date | 40.0% |