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

DOI · Department of the Interior11SBA · Small Business Administration4DOE · Department of Energy1FERC · Federal Energy Regulatory Commission1SSA · Social Security Administration1

Stage1

Deployed67Pilot18Pre-deployment42Retired2

High-impact

High-impact1Presumed high-impact, determined not1Not high-impact16

Topic

AI type

Generative AI7Classical / predictive ML7Natural language processing1Computer vision3

Sourcing

Developed in-house12Contract and in-house2Purchased from vendor4

Vendor

Microsoft2Grammarly1OpenAI1Perplexity1

Function

Start year

FromTo

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

training: affirmativeStage: Pilot

	Pilot	Total
DOI	11	11
SBA	4	4
DOE	1	1
FERC	1	1
SSA	1	1
Total	18	18

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	18	100%
High-impact designation	18	100%
Topic area	18	100%
AI classification	18	100%
Problem	18	100%
Benefits	18	100%
Outputs	18	100%
Sourcing	18	100%
Start date	18	100%
ATO	18	100%
PII	18	100%
Custom code	18	100%

Descriptive statistics

Current filter

Records	18
Agencies	5
Records per agency: median	1
Records per agency: largest	11
Deployed share	0.0%
High-impact share (of designated)	5.6%
Mean core-field completeness	100%
Records with a parseable start date	100.0%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOI	11	0%	100%	0	9%	100%	100%
SBA	4	0%	100%	0	75%	25%	100%
FERC	1	0%	100%	0	100%	100%	100%
SSA	1	0%	100%	1	100%	100%	100%
DOE	1	0%	100%	0	100%	0%	100%

Agency × Development stage

Missing-data analysis

Descriptive statistics

Grouped summary by agency