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

SBA · Small Business Administration4DOE · Department of Energy3EAC · Election Assistance Commission1FERC · Federal Energy Regulatory Commission1SSA · Social Security Administration1

Stage1

Deployed66Pilot10Pre-deployment16Retired2

High-impact

High-impact1Presumed high-impact, determined not1Not high-impact8

Topic

AI type

Generative AI8Classical / predictive ML2

Sourcing

Developed in-house1Contract and in-house2Purchased from vendor7

Vendor

Microsoft3Grammarly1OpenAI1Perplexity1

Function

Chatbot or virtual assistant3Summarization2Software development assistance1Document processing and extraction1

Start year

FromTo

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

testing: affirmativeStage: Pilot

	Pilot	Total
SBA	4	4
DOE	3	3
EAC	1	1
FERC	1	1
SSA	1	1
Total	10	10

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	10	0	100%
High-impact designation	10	0	100%
Topic area	10	0	100%
AI classification	10	0	100%
Problem	10	0	100%
Benefits	10	0	100%
Outputs	10	0	100%
Sourcing	10	0	100%
Start date	10	0	100%
ATO	9	1	90%
PII	10	0	100%
Custom code	10	0	100%

Descriptive statistics

Current filter

Records	10
Agencies	5
Records per agency: median	1
Records per agency: largest	4
Deployed share	0.0%
High-impact share (of designated)	10.0%
Mean core-field completeness	99%
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
SBA	4	0%	100%	0	75%	25%	100%
DOE	3	0%	100%	0	67%	0%	100%
FERC	1	0%	100%	0	100%	100%	100%
EAC	1	0%	100%	0	100%	0%	92%
SSA	1	0%	100%	1	100%	100%	100%

Agency × Development stage

Missing-data analysis

Descriptive statistics

Grouped summary by agency