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
30 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 30 | 0 | 100% |
| High-impact designation | 30 | 0 | 100% |
| Topic area | 30 | 0 | 100% |
| AI classification | 30 | 0 | 100% |
| Problem | 30 | 0 | 100% |
| Benefits | 30 | 0 | 100% |
| Outputs | 30 | 0 | 100% |
| Sourcing | 29 | 1 | 97% |
| Start date | 28 | 2 | 93% |
| ATO | 28 | 2 | 93% |
| PII | 28 | 2 | 93% |
| Custom code | 29 | 1 | 97% |
Descriptive statistics
Current filter| Records | 30 |
| Agencies | 9 |
| Records per agency: median | 2 |
| Records per agency: largest | 13 |
| Deployed share | 0.0% |
| High-impact share (of designated) | 3.3% |
| Mean core-field completeness | 98% |
| Records with a parseable start date | 93.3% |