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 Energy4SSA · Social Security Administration3DHS · Department of Homeland Security2DOL · Department of Labor1USDA · Department of Agriculture1

Stage1

Deployed11Pre-deployment4

High-impact

High-impact7Not high-impact4

Topic

AI type

Classical / predictive ML6Natural language processing3Computer vision2

Sourcing

Developed in-house2Contract and in-house3Purchased from vendor6

Vendor

ServiceNow4Amazon Web Services1IBM1

Function

Start year

FromTo

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

appeal: affirmativefeedback: otherStage: Deployed

	Deployed	Total
DOE	4	4
SSA	3	3
DHS	2	2
DOL	1	1
USDA	1	1
Total	11	11

Missing-data analysis

Core fields, current filter

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

Descriptive statistics

Current filter

Records	11
Agencies	5
Records per agency: median	2
Records per agency: largest	4
Deployed share	100.0%
High-impact share (of designated)	63.6%
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
DOE	4	100%	0%	0	0%	0%	100%
SSA	3	100%	0%	3	0%	67%	100%
DHS	2	100%	0%	2	0%	50%	100%
DOL	1	100%	0%	1	0%	100%	100%
USDA	1	100%	0%	1	0%	100%	100%

Agency × Development stage

Missing-data analysis

Descriptive statistics

Grouped summary by agency