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

DOT · Department of Transportation4FDIC · Federal Deposit Insurance Corporation3DOE · Department of Energy2DOI · Department of the Interior1HHS · Department of Health and Human Services1NTSB · National Transportation Safety Board1TREAS · Department of the Treasury1

Stage

Deployed1Pre-deployment3

High-impact

Not high-impact4

Topic

Transportation4

AI type1

Generative AI3Other4

Sourcing1

Developed in-house7Contract and in-house12Purchased from vendor4Not reported20

Vendor

No options match.

Function

Chatbot or virtual assistant1Software development assistance1Summarization1Translation and transcription1

Start year

FromTo

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

Agency: DOT · Department of TransportationAI type: OtherSourcing: Purchased from vendor

	Deployed	Pre-deployment	Total
DOT	1	3	4
Total	1	3	4

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	4	0	100%
High-impact designation	4	0	100%
Topic area	4	0	100%
AI classification	4	0	100%
Problem	4	0	100%
Benefits	0	4	0%
Outputs	4	0	100%
Sourcing	4	0	100%
Start date	1	3	25%
ATO	1	3	25%
PII	0	4	0%
Custom code	4	0	100%

Descriptive statistics

Current filter

Records	4
Agencies	1
Records per agency: median	4
Records per agency: largest	4
Deployed share	25.0%
High-impact share (of designated)	0.0%
Mean core-field completeness	71%
Records with a parseable start date	25.0%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOT	4	25%	0%	0	0%	0%	71%

Agency × Development stage

Missing-data analysis

Descriptive statistics

Grouped summary by agency