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
135 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 135 | 0 | 100% |
| High-impact designation | 135 | 0 | 100% |
| Topic area | 135 | 0 | 100% |
| AI classification | 135 | 0 | 100% |
| Problem | 104 | 31 | 77% |
| Benefits | 135 | 0 | 100% |
| Outputs | 104 | 31 | 77% |
| Sourcing | 125 | 10 | 93% |
| Start date | 117 | 18 | 87% |
| ATO | 135 | 0 | 100% |
| PII | 135 | 0 | 100% |
| Custom code | 135 | 0 | 100% |
Descriptive statistics
Current filter| Records | 135 |
| Agencies | 7 |
| Records per agency: median | 7 |
| Records per agency: largest | 66 |
| Deployed share | 43.7% |
| High-impact share (of designated) | 7.4% |
| Mean core-field completeness | 94% |
| Records with a parseable start date | 86.7% |