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 Energy11EAC · Election Assistance Commission1

Stage

Deployed8Pilot2Pre-deployment2

High-impact

Not high-impact12

Topic

AI type

Generative AI8Classical / predictive ML3Natural language processing1

Sourcing

Developed in-house9Purchased from vendor3

Vendor

GitHub1Microsoft1

Function

Summarization2Chatbot or virtual assistant1Procurement and acquisition1

Start year

FromTo

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

impact_assessment: blanktesting: affirmative

	Deployed	Pilot	Pre-deployment	Total
DOE	8	1	2	11
EAC		1		1
Total	8	2	2	12

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	12	0	100%
High-impact designation	12	0	100%
Topic area	12	0	100%
AI classification	12	0	100%
Problem	12	0	100%
Benefits	12	0	100%
Outputs	12	0	100%
Sourcing	12	0	100%
Start date	12	0	100%
ATO	11	1	92%
PII	12	0	100%
Custom code	12	0	100%

Current filter

Records	12
Agencies	2
Records per agency: median	1
Records per agency: largest	11
Deployed share	66.7%
High-impact share (of designated)	0.0%
Mean core-field completeness	99%
Records with a parseable start date	100.0%

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOE	11	73%	9%	0	64%	82%	100%
EAC	1	0%	100%	0	100%	0%	92%