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
143 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 143 | 0 | 100% |
| High-impact designation | 143 | 0 | 100% |
| Topic area | 143 | 0 | 100% |
| AI classification | 143 | 0 | 100% |
| Problem | 112 | 31 | 78% |
| Benefits | 140 | 3 | 98% |
| Outputs | 109 | 34 | 76% |
| Sourcing | 142 | 1 | 99% |
| Start date | 135 | 8 | 94% |
| ATO | 143 | 0 | 100% |
| PII | 140 | 3 | 98% |
| Custom code | 143 | 0 | 100% |
Descriptive statistics
Current filter| Records | 143 |
| Agencies | 8 |
| Records per agency: median | 5 |
| Records per agency: largest | 77 |
| Deployed share | 51.0% |
| High-impact share (of designated) | 21.0% |
| Mean core-field completeness | 95% |
| Records with a parseable start date | 94.4% |