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
22 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 22 | 0 | 100% |
| High-impact designation | 22 | 0 | 100% |
| Topic area | 22 | 0 | 100% |
| AI classification | 22 | 0 | 100% |
| Problem | 21 | 1 | 95% |
| Benefits | 22 | 0 | 100% |
| Outputs | 19 | 3 | 86% |
| Sourcing | 22 | 0 | 100% |
| Start date | 22 | 0 | 100% |
| ATO | 20 | 2 | 91% |
| PII | 20 | 2 | 91% |
| Custom code | 20 | 2 | 91% |
Descriptive statistics
Current filter| Records | 22 |
| Agencies | 8 |
| Records per agency: median | 2 |
| Records per agency: largest | 7 |
| Deployed share | 100.0% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 96% |
| Records with a parseable start date | 100.0% |