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
26 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 26 | 0 | 100% |
| High-impact designation | 26 | 0 | 100% |
| Topic area | 25 | 1 | 96% |
| AI classification | 25 | 1 | 96% |
| Problem | 25 | 1 | 96% |
| Benefits | 25 | 1 | 96% |
| Outputs | 25 | 1 | 96% |
| Sourcing | 14 | 12 | 54% |
| Start date | 7 | 19 | 27% |
| ATO | 7 | 19 | 27% |
| PII | 7 | 19 | 27% |
| Custom code | 14 | 12 | 54% |
Descriptive statistics
Current filter| Records | 26 |
| Agencies | 5 |
| Records per agency: median | 4 |
| Records per agency: largest | 13 |
| Deployed share | 50.0% |
| High-impact share (of designated) | 100.0% |
| Mean core-field completeness | 72% |
| Records with a parseable start date | 26.9% |