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
65 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 65 | 0 | 100% |
| High-impact designation | 65 | 0 | 100% |
| Topic area | 65 | 0 | 100% |
| AI classification | 65 | 0 | 100% |
| Problem | 34 | 31 | 52% |
| Benefits | 65 | 0 | 100% |
| Outputs | 34 | 31 | 52% |
| Sourcing | 65 | 0 | 100% |
| Start date | 61 | 4 | 94% |
| ATO | 65 | 0 | 100% |
| PII | 65 | 0 | 100% |
| Custom code | 65 | 0 | 100% |
Descriptive statistics
Current filter| Records | 65 |
| Agencies | 3 |
| Records per agency: median | 9 |
| Records per agency: largest | 54 |
| Deployed share | 60.0% |
| High-impact share (of designated) | 3.1% |
| Mean core-field completeness | 92% |
| Records with a parseable start date | 93.8% |