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

DOE · Department of Energy3DOI · Department of the Interior3

Stage

Deployed3Pilot2Pre-deployment1

High-impact

Not high-impact6

Topic

Administrative Functions2Science2Information Technology1Other1

AI type

Generative AI4Classical / predictive ML2

Sourcing

Developed in-house3Purchased from vendor2Not reported1

Vendor

GitHub1Microsoft1

Function

Summarization1

Start year

FromTo

Only records with a parseable start date match a year filter.

impact_assessment: blankmonitoring: in_progress

	Deployed	Pilot	Pre-deployment	Total
DOE	2	1		3
DOI	1	1	1	3
Total	3	2	1	6

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	6	0	100%
High-impact designation	6	0	100%
Topic area	6	0	100%
AI classification	6	0	100%
Problem	6	0	100%
Benefits	6	0	100%
Outputs	6	0	100%
Sourcing	5	1	83%
Start date	5	1	83%
ATO	6	0	100%
PII	6	0	100%
Custom code	6	0	100%

Current filter

Records	6
Agencies	2
Records per agency: median	3
Records per agency: largest	3
Deployed share	50.0%
High-impact share (of designated)	0.0%
Mean core-field completeness	97%
Records with a parseable start date	83.3%

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOI	3	33%	33%	0	33%	100%	94%
DOE	3	67%	33%	0	100%	33%	100%