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Data explorer
Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.
Agency1
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Agency: DOE · Department of EnergyAI type: Generative AI
Agency × Development stage
150 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 150 | 0 | 100% |
| High-impact designation | 150 | 0 | 100% |
| Topic area | 150 | 0 | 100% |
| AI classification | 150 | 0 | 100% |
| Problem | 119 | 31 | 79% |
| Benefits | 150 | 0 | 100% |
| Outputs | 119 | 31 | 79% |
| Sourcing | 129 | 21 | 86% |
| Start date | 121 | 29 | 81% |
| ATO | 129 | 21 | 86% |
| PII | 126 | 24 | 84% |
| Custom code | 124 | 26 | 83% |
Descriptive statistics
Current filter| Records | 150 |
| Agencies | 1 |
| Records per agency: median | 150 |
| Records per agency: largest | 150 |
| Deployed share | 45.3% |
| High-impact share (of designated) | 11.3% |
| Mean core-field completeness | 90% |
| Records with a parseable start date | 80.7% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| DOE | 150 | 45% | 21% | 17 | 100% | 58% | 90% |