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
30 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 30 | 0 | 100% |
| High-impact designation | 30 | 0 | 100% |
| Topic area | 30 | 0 | 100% |
| AI classification | 30 | 0 | 100% |
| Problem | 30 | 0 | 100% |
| Benefits | 30 | 0 | 100% |
| Outputs | 30 | 0 | 100% |
| Sourcing | 14 | 16 | 47% |
| Start date | 13 | 17 | 43% |
| ATO | 19 | 11 | 63% |
| PII | 19 | 11 | 63% |
| Custom code | 19 | 11 | 63% |
Descriptive statistics
Current filter| Records | 30 |
| Agencies | 3 |
| Records per agency: median | 11 |
| Records per agency: largest | 17 |
| Deployed share | 16.7% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 82% |
| Records with a parseable start date | 43.3% |