Data explorer
Data explorer
Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.
Agency1
Stage
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Topic1
AI type1
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Only records with a parseable start date match a year filter.
Agency: USDA · Department of AgricultureAI type: Classical / predictive MLTopic: Science
Agency × Development stage
45 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 45 | 0 | 100% |
| High-impact designation | 45 | 0 | 100% |
| Topic area | 45 | 0 | 100% |
| AI classification | 45 | 0 | 100% |
| Problem | 45 | 0 | 100% |
| Benefits | 45 | 0 | 100% |
| Outputs | 45 | 0 | 100% |
| Sourcing | 34 | 11 | 76% |
| Start date | 34 | 11 | 76% |
| ATO | 34 | 11 | 76% |
| PII | 34 | 11 | 76% |
| Custom code | 34 | 11 | 76% |
Descriptive statistics
Current filter| Records | 45 |
| Agencies | 1 |
| Records per agency: median | 45 |
| Records per agency: largest | 45 |
| Deployed share | 13.3% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 90% |
| Records with a parseable start date | 75.6% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| USDA | 45 | 13% | 58% | 0 | 0% | 94% | 90% |