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
10 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 10 | 0 | 100% |
| High-impact designation | 8 | 2 | 80% |
| Topic area | 10 | 0 | 100% |
| AI classification | 10 | 0 | 100% |
| Problem | 10 | 0 | 100% |
| Benefits | 9 | 1 | 90% |
| Outputs | 8 | 2 | 80% |
| Sourcing | 5 | 5 | 50% |
| Start date | 3 | 7 | 30% |
| ATO | 3 | 7 | 30% |
| PII | 3 | 7 | 30% |
| Custom code | 5 | 5 | 50% |
Descriptive statistics
Current filter| Records | 10 |
| Agencies | 5 |
| Records per agency: median | 1 |
| Records per agency: largest | 4 |
| Deployed share | 40.0% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 70% |
| Records with a parseable start date | 30.0% |