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
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Agency: NASA · National Aeronautics and Space AdministrationAI type: Computer visionTopic: Science
Agency × Development stage
43 recordsMissing-data analysis
Core fields, current filter| Field | Filled | Missing | Filled % |
|---|
| Stage | 43 | 0 | 100% |
| High-impact designation | 43 | 0 | 100% |
| Topic area | 43 | 0 | 100% |
| AI classification | 43 | 0 | 100% |
| Problem | 43 | 0 | 100% |
| Benefits | 43 | 0 | 100% |
| Outputs | 43 | 0 | 100% |
| Sourcing | 3 | 40 | 7% |
| Start date | 3 | 40 | 7% |
| ATO | 3 | 40 | 7% |
| PII | 3 | 40 | 7% |
| Custom code | 3 | 40 | 7% |
Descriptive statistics
Current filter| Records | 43 |
| Agencies | 1 |
| Records per agency: median | 43 |
| Records per agency: largest | 43 |
| Deployed share | 7.0% |
| High-impact share (of designated) | 0.0% |
| Mean core-field completeness | 61% |
| Records with a parseable start date | 7.0% |
Grouped summary by agency
Shares use each agency's own record count| Agency | Records | Deployed % | Pilot % | High-impact | Generative % | In-house (of reported) | Completeness |
|---|
| NASA | 43 | 7% | 0% | 0 | 0% | 100% | 61% |