Data explorer

Data explorer

Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.

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Agency × Development stage

60 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DOE	13	3	1		17
DOJ	3	3			6
HHS	4	2			6
DHS	5				5
FTC	2	1	1	1	5
DOL	4				4
SSA	3	1			4
STATE	3				3
EPA		2			2
USDA		2			2
DOI		1			1
EAC		1			1
FCC		1			1
HUD		1			1
NRC	1				1
OSC			1		1
Total	38	18	3	1	60

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	60	0	100%
High-impact designation	59	1	98%
Topic area	60	0	100%
AI classification	60	0	100%
Problem	60	0	100%
Benefits	60	0	100%
Outputs	60	0	100%
Sourcing	60	0	100%
Start date	60	0	100%
ATO	59	1	98%
PII	60	0	100%
Custom code	60	0	100%

Descriptive statistics

Current filter

Records	60
Agencies	16
Records per agency: median	2
Records per agency: largest	17
Deployed share	63.3%
High-impact share (of designated)	0.0%
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	17	76%	18%	0	100%	71%	100%
HHS	6	67%	33%	0	100%	83%	100%
DOJ	6	50%	50%	0	100%	17%	100%
DHS	5	100%	0%	0	100%	60%	100%
FTC	5	40%	20%	0	100%	80%	100%
DOL	4	100%	0%	0	100%	75%	100%
SSA	4	75%	25%	0	100%	25%	100%
STATE	3	100%	0%	0	100%	67%	100%
USDA	2	0%	100%	0	100%	50%	100%
EPA	2	0%	100%	0	100%	100%	100%
NRC	1	100%	0%	0	100%	0%	100%
HUD	1	0%	100%	0	100%	0%	100%
FCC	1	0%	100%	0	100%	100%	100%
EAC	1	0%	100%	0	100%	0%	92%
DOI	1	0%	100%	0	100%	0%	100%
OSC	1	0%	0%	0	100%	0%	92%