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
166 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|---|---|---|
| Stage | 166 | 0 | 100% |
| High-impact designation | 166 | 0 | 100% |
| Topic area | 166 | 0 | 100% |
| AI classification | 166 | 0 | 100% |
| Problem | 135 | 31 | 81% |
| Benefits | 166 | 0 | 100% |
| Outputs | 135 | 31 | 81% |
| Sourcing | 166 | 0 | 100% |
| Start date | 165 | 1 | 99% |
| ATO | 166 | 0 | 100% |
| PII | 166 | 0 | 100% |
| Custom code | 166 | 0 | 100% |
Descriptive statistics
Current filter| Records | 166 |
| Agencies | 9 |
| Records per agency: median | 2 |
| Records per agency: largest | 75 |
| Deployed share | 78.3% |
| High-impact share (of designated) | 54.8% |
| Mean core-field completeness | 97% |
| Records with a parseable start date | 99.4% |