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
75 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 75 | 0 | 100% |
| High-impact designation | 75 | 0 | 100% |
| Topic area | 75 | 0 | 100% |
| AI classification | 75 | 0 | 100% |
| Problem | 75 | 0 | 100% |
| Benefits | 75 | 0 | 100% |
| Outputs | 75 | 0 | 100% |
| Sourcing | 29 | 46 | 39% |
| Start date | 28 | 47 | 37% |
| ATO | 31 | 44 | 41% |
| PII | 31 | 44 | 41% |
| Custom code | 31 | 44 | 41% |
Descriptive statistics
Current filter| Records | 75 |
| Agencies | 6 |
| Records per agency: median | 8 |
| Records per agency: largest | 43 |
| Deployed share | 17.3% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 75% |
| Records with a parseable start date | 37.3% |